Movatterモバイル変換


[0]ホーム

URL:


CN119850969A - Linear polarized light-based passive reflection type target recognition method and recognition system thereof - Google Patents

Linear polarized light-based passive reflection type target recognition method and recognition system thereof
Download PDF

Info

Publication number
CN119850969A
CN119850969ACN202411963465.7ACN202411963465ACN119850969ACN 119850969 ACN119850969 ACN 119850969ACN 202411963465 ACN202411963465 ACN 202411963465ACN 119850969 ACN119850969 ACN 119850969A
Authority
CN
China
Prior art keywords
target
reflection type
passive
image
light reflecting
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202411963465.7A
Other languages
Chinese (zh)
Inventor
怀思然
陈嘉琳
甘志超
王赫
周圣涵
林振强
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Great Wall Aviation Measurement And Control Technology Research Institute Co ltd
Original Assignee
Beijing Great Wall Aviation Measurement And Control Technology Research Institute Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Great Wall Aviation Measurement And Control Technology Research Institute Co ltdfiledCriticalBeijing Great Wall Aviation Measurement And Control Technology Research Institute Co ltd
Priority to CN202411963465.7ApriorityCriticalpatent/CN119850969A/en
Publication of CN119850969ApublicationCriticalpatent/CN119850969A/en
Pendinglegal-statusCriticalCurrent

Links

Classifications

Landscapes

Abstract

Translated fromChinese

本发明提供一种基于线偏振光的无源反射式靶标识别方法,其包括:采集若干靶标图像;针对所述靶标图像,进行预处理操作获得靶标特征图像;针对所述靶标特征图像,借助边缘检测和圆拟合获得靶标边缘图像;针对靶标边缘图像,进行所述无源反射式靶标的提取和编码,并基于此提供一种识别系统,其包括无源反射式靶标、频闪白炽灯、彩色相机和数据处理单元。本发明通过高频异步信号编码技术让靶标光源主动频闪,基于光学反射原理设计无源反射式靶标,不受强光和电磁干扰,测量结果稳定可靠,满足小型化、无源化设计要求,具有较强的实际应用价值。

The present invention provides a passive reflective target recognition method based on linearly polarized light, which includes: collecting a number of target images; performing a preprocessing operation on the target images to obtain a target feature image; obtaining a target edge image by means of edge detection and circle fitting on the target feature image; extracting and encoding the passive reflective target on the target edge image, and based on this, providing a recognition system, which includes a passive reflective target, a stroboscopic incandescent lamp, a color camera and a data processing unit. The present invention uses high-frequency asynchronous signal coding technology to make the target light source actively strobe, designs a passive reflective target based on the principle of optical reflection, is not affected by strong light and electromagnetic interference, has stable and reliable measurement results, meets the requirements of miniaturization and passive design, and has strong practical application value.

Description

Linear polarized light-based passive reflection type target recognition method and recognition system thereof
Technical Field
The invention belongs to the technical field of complex environment target recognition, and particularly relates to a passive reflection type target recognition method and system based on linearly polarized light.
Background
In strong light settings, target imaging faces a number of complex and tricky problems, which make target recognition a very challenging task.
Intense light can cause image sensors to generate significant amounts of noise, which can be diverse in types, including thermal noise, shot noise, etc., that are interleaved with useful target signals. The traditional filtering method is used for removing noise and simultaneously blurring edge and detail information of an image, so that target characteristics become unclear, and the follow-up recognition accuracy is affected. For example, mean filtering may blur the edges of the target during smoothing noise, making it difficult to accurately extract its shape features. Meanwhile, large-area clutter, such as reflected light, light spots and the like, can be generated under the strong light background, and the clutter has similarity with a target in terms of color, texture and the like and is easy to confuse. Edge detection-based methods may misjudge the edges of clutter as target edges, thereby creating a large number of false detection areas. For the machine learning method, the complexity of the sample is increased due to the presence of clutter, so that the model is difficult to accurately learn the characteristic mode of the target, and the classification accuracy and reliability are reduced. For example, in training using SVM or CNN, clutter regions may be wrongly learned as features of the target, resulting in a misclassified situation in the actual recognition. Key features of the target such as specific shapes, color marks, textures, etc. are difficult to extract accurately due to noise and clutter. Under strong light irradiation, the color of the target may be distorted, the original clear texture may be covered by noise, so that the recognition method based on the color and texture features is invalid, and the target may be partially shielded, deformed and the like under the strong light background, so that the difficulty of feature extraction is further increased, and stable and distinguishable features are difficult to find to perform effective target recognition. Therefore, in order to overcome the defects of the prior art in noise and clutter processing under the strong light background, it is urgent and necessary to find a passive reflection type target recognition method and a passive reflection type target recognition system based on linearly polarized light so as to realize accurate recognition of the target position and gesture.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a passive reflection type target recognition method based on linearly polarized light. The method comprises the steps of collecting a plurality of target images, carrying out preprocessing operation on the target images to obtain target feature images, obtaining target edge images by means of edge detection and circle fitting on the target feature images, carrying out extraction and coding of the passive reflection type targets on the target edge images, and providing an identification system based on the passive reflection type targets, wherein the identification system comprises the passive reflection type targets, a stroboscopic incandescent lamp, a color camera and a data processing unit. According to the invention, the target light source is actively strobed by a high-frequency asynchronous signal coding technology, a passive reflection target is designed based on an optical reflection principle, strong light and electromagnetic interference are avoided, a measurement result is stable and reliable, the design requirements of miniaturization and passivity are met, and the method has a relatively strong practical application value.
The invention provides a passive reflection type target recognition method based on linearly polarized light, which comprises the following steps:
s1, collecting a plurality of target images, namely collecting a plurality of target images which are irradiated by a stroboscopic incandescent lamp to enable a passive reflection type target to be stroboscopic passively by using a color camera;
S2, preprocessing the target image to obtain a target characteristic image;
s21, converting the target image into a target gray image by a gray conversion formula by means of a weighted average method, wherein the gray conversion formula is as follows:
G=0.299R+0.587G+0.114B (1)
R, G, B represent the pixel value of the corresponding position of red channel, green channel and blue channel in the said target image separately;
s22, converting the target gray level image into a target denoising image by means of self-adaptive median filtering;
s23, acquiring a target characteristic image with the background removed from the target denoising image at the adjacent moment by a frame difference method;
s3, aiming at the target characteristic image, obtaining a target edge image by means of edge detection and circle fitting;
s31, extracting the edge and detail information of the passive reflection type target in the target characteristic image by means of a gradient-based edge detection algorithm to obtain a target edge image;
S32, determining the center coordinates and the radius of the passive reflection target in the target edge image by means of a circle fitting equation;
S4, extracting and encoding the passive reflection type target aiming at the target edge image;
S41, acquiring the target image only containing the passive reflection type target area based on the target edge image and the target image and taking the target image as a target image to be coded;
S42, identifying the color of the passive reflection type target in the target image to be encoded and taking the color as a first encoding basic element, wherein the first encoding basic element related to the color of the passive reflection type target in the target image to be encoded is extracted, and comprises a main tone, a key color occupation and a color distribution characteristic;
S43, recording time domain information of the passive reflection target in the target image to be encoded, and performing quantization processing, wherein the time domain information is used as a second coding basic element, and the second coding basic element comprises a time point, duration and a position in a time sequence;
s44, based on the first coding basic element and the second coding basic element, according to preset coding logic, combining to generate a unique code special for the passive reflection target as a passive reflection target code.
Further, the step S1 specifically includes the following steps:
s11, emitting two beams of overlapped and twinkled transverse polarized light and longitudinal polarized light by a stroboscopic incandescent lamp, irradiating the transverse polarized light and the longitudinal polarized light to the surface of a target to be detected, and exciting passive reflection type target passive stroboscopic light on the surface of the target to be detected;
s12, shooting the passive reflection type target area on the surface of the target to be detected by using a color camera, and collecting a plurality of target images.
Preferably, in the step S44, a predefined color code table is adopted for the main tone coding in the first coding base element, red, blue and yellow in the predefined color code table are respectively coded into 01, 02 and 03, the key color duty ratio coding is quantized into a [0,1] interval value and then Huffman compressed by Huffman coding, the color distribution characteristics are coded in a simplified topological graph, and the connectivity and the position relationship of the color region are marked to generate a color coding string.
Preferably, the window size of the adaptive median filter in the step S22 is dynamically adjusted based on noise intensity, and the window size ranges from 3×3 to 9×9 pixels.
Preferably, after the passive reflection target is encoded in step S44, the passive reflection target code is stored in a distributed database in a structured data format, and is transmitted to a monitoring center and associated equipment in real time by using a 422 protocol.
Preferably, the frequency of the photographing of the color camera in the step S1 and the flicker frequency of the strobe incandescent lamp are consistent and synchronous, and the field of view of the photographing of the color camera covers all passive reflective targets.
The invention provides a recognition system based on a linear polarized light passive reflection target recognition method, which comprises a passive reflection target, a stroboscopic incandescent lamp, a color camera and a data processing unit, wherein the passive reflection target comprises a first red reflection target, a second red reflection target, a first blue reflection target, a second blue reflection target, a first yellow reflection target and a second yellow reflection target, the first red reflection target, the second red reflection target, the first blue reflection target, the second blue reflection target, the first yellow reflection target and the second yellow reflection target are respectively glued to the surface of a target to be detected, the stroboscopic incandescent lamp is provided with 2 stroboscopic incandescent lamps which are alternately flashed, 1 polarizing plate is arranged in front of each stroboscopic incandescent lamp and respectively emit two beams of overlapped and flashing transverse polarized light and longitudinal polarized light through the polarizing plates, the transverse polarized light and the longitudinal polarized light are irradiated to the surface of the target to be detected and excite the passive reflection target to be passive, the color camera is used for collecting images of the area where the passive reflection target is located, the images are input to the processing unit, and the stroboscopic incandescent lamp is provided with 1 polarizing plate and the polarizing plate to emit two beams to the surface of the target to be detected, and the passive reflection target data processing unit to encode the target images.
Preferably, the first red light reflecting target and the second red light reflecting target comprise 1 red light reflecting film and 1 polaroid, the first blue light reflecting target and the second blue light reflecting target comprise 1 blue light reflecting film and 1 polaroid, the first yellow light reflecting target and the second yellow light reflecting target comprise 1 yellow light reflecting film and 1 polaroid, the polarization directions corresponding to the first red light reflecting target and the second red light reflecting target are perpendicular to each other, the polarization directions corresponding to the first blue light reflecting target and the second blue light reflecting target are perpendicular to each other, and the polarization directions corresponding to the first yellow light reflecting target and the second yellow light reflecting target are perpendicular to each other.
Preferably, the first red light reflecting target, the second red light reflecting target, the first blue light reflecting target, the second blue light reflecting target, the first yellow light reflecting target and the second yellow light reflecting target are all round.
Preferably, the red reflective film, the blue reflective film and the yellow reflective film are made of flexible reflective material reflective films, and the day visible light reflectivity and the night visible light reflectivity are respectively greater than or equal to 60% and 65%.
Compared with the prior art, the invention has the technical effects that:
1. According to the passive reflection type target recognition method based on linearly polarized light, which is designed by the invention, the target light source is actively stroboscopic through a high-frequency asynchronous signal coding technology, a target image is separated and recognized according to the characteristics of a background, a target and a noise point by utilizing a frame difference method, the passive reflection type target is designed based on an optical reflection principle, and light rays are reflected by a special reflection surface, so that the accurate recognition of the position and the gesture of the target is realized, and the practicability is higher.
2. According to the passive reflection type target recognition method based on linearly polarized light, when the environment is a complex air strong light interference environment, the method does not need to modulate an energy output process, the complexity and cost of a system are reduced, the method is not influenced by factors such as electromagnetic interference and the like, the method is suitable for various application scenes including severe weather such as atmospheric turbulence or rain and fog, the measurement result is stable and reliable, and the requirements of miniaturization and passive design are met.
Drawings
Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments made with reference to the following drawings.
FIG. 1 is a flow chart of a passive reflection target recognition method based on linearly polarized light of the present invention;
FIG. 2 is a schematic illustration of the principle of reflection of polarized light in accordance with the present invention;
FIG. 3 is a schematic representation of edge extraction of a target image in one embodiment of the invention;
fig. 4 is a schematic diagram of a passive-reflex target arrangement in one particular embodiment of the present invention.
Detailed Description
The application is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the application and are not limiting of the application. It should be noted that, for convenience of description, only the portions related to the present application are shown in the drawings. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other. The application will be described in detail below with reference to the drawings in connection with embodiments.
Fig. 1 shows a linearly polarized light based passive reflection target recognition method of the present invention, comprising the steps of:
S1, collecting a plurality of target images, namely collecting a plurality of target images which are irradiated by the stroboscopic incandescent lamp to enable the passive reflection type target to be stroboscopic passively by using the color camera.
S11, emitting two beams of transverse polarized light and longitudinal polarized light which are overlapped and flash through a stroboscopic incandescent lamp, irradiating the transverse polarized light and the longitudinal polarized light to the surface of the target to be detected, and exciting passive reflection type target passive stroboscopic effect on the surface of the target to be detected, wherein as shown in fig. 2, the polarized light irradiates the surface of a target reflection film to reflect back, the target passively flashes at a specific frequency, and background stray light is constantly bright or irregularly changed so as to cut out noise.
S12, shooting a passive reflection type target area on the surface of the target to be detected by using a color camera, and collecting a plurality of target images. The frequency of the color camera shots and the flicker frequency of the stroboscopic incandescent lamp are kept consistent and synchronous, and the field of view of the color camera shots covers all passive reflective targets.
And an optical imaging device with high resolution and wide dynamic range, such as an industrial CCD high-speed camera, is used for acquiring images of a scene containing the passive reflection target from a specific observation angle, so that the target area is ensured to be completely included in the field of view. The acquisition frame rate is flexibly set according to the dynamic characteristics of the target and the real-time requirements of the application scene, and is generally between 100 frames per second and 200 frames per second.
S2, preprocessing the target image to obtain a target characteristic image.
S21, converting the target image into a target gray image by a gray conversion formula by means of a weighted average method, so that the data dimension is reduced, and the subsequent processing efficiency is improved, wherein the gray conversion formula is as follows:
G=0.299R+0.587G+0.114B (1)
Wherein G represents gray pixel values, R, G, B respectively represent pixel values of corresponding positions of a red channel, a green channel and a blue channel in the target image.
S22, converting the target gray level image into a target denoising image by means of self-adaptive median filtering, accurately retaining target edge and detail information, and avoiding excessive smoothing, wherein the window size of the self-adaptive median filtering is dynamically adjusted based on noise intensity, and the window size ranges from 3X 3 to 9X 9 pixels.
S23, acquiring target characteristic images with background removed from target denoising images at adjacent moments through a frame difference method.
S3, as shown in FIG. 3, aiming at the target characteristic image, obtaining a target edge image by means of edge detection and circle fitting.
S31, extracting the edge and detail information of the passive reflection type target in the target characteristic image by means of a gradient-based edge detection algorithm to obtain a target edge image, wherein the error is controlled within +/-0.1 mm.
S32, determining the center coordinates and the radius of the passive reflection type target in the target edge image by means of a circle fitting equation.
S4, extracting and encoding the passive reflection type target aiming at the target edge image.
And S41, acquiring a target image only containing the passive reflection type target area based on the target edge image and the target image, and taking the target image as a target image to be encoded.
And S42, identifying the colors of the passive reflection targets in the target image to be encoded and taking the colors as first encoding basic elements, namely extracting first encoding basic elements related to the colors of the passive reflection targets in the target image to be encoded, wherein the first encoding basic elements comprise main tone, key color occupation and color distribution characteristics.
S43, recording time domain information of the passive reflection type target in the target image to be encoded, and quantifying, wherein the time domain information is used as a second encoding basic element, and the second encoding basic element comprises a time point, duration and positions in a time sequence.
S44, based on the first coding basic element and the second coding basic element, according to preset coding logic, combining to generate a unique code special for the passive reflection target as a passive reflection target code.
The method comprises the steps of adopting a predefined color code table for main tone coding in a first coding basic element, respectively coding red, blue and yellow in the predefined color code table into 01, 02 and 03, adopting key color duty ratio coding to be quantized into [0,1] interval values, then carrying out Huffman coding and Huffman compression, and marking connectivity and position relation of color areas by color distribution characteristics to simplify topological graph coding, so as to generate a color coding string.
After the passive reflection type target codes are encoded, the passive reflection type target codes are stored in a distributed database in a structured data format, high availability and expansibility of the data are guaranteed, the data are transmitted to a monitoring center and associated equipment in real time by using a 422 protocol, transmission delay is controlled within 20ms, and application scenes with strict real-time requirements are met.
In another aspect, the invention provides an identification system utilizing the linear polarized light-based passive reflection type target identification method, which comprises a passive reflection type target, a stroboscopic incandescent lamp, a color camera and a data processing unit, wherein the passive reflection type target comprises a first red reflection type target, a second red reflection type target, a first blue reflection type target, a second blue reflection type target, a first yellow reflection type target and a second yellow reflection type target, the first red reflection type target, the second red reflection type target, the first blue reflection type target, the second blue reflection type target, the first yellow reflection type target and the second yellow reflection type target are glued to the surface of a target to be detected respectively, as shown in fig. 4, the first red reflection type target and the second red reflection type target comprise 1 red reflection film and 1 polaroid, the first blue reflection type target and the second blue reflection type target comprise 1 blue reflection film and 1 polaroid, the first red reflection type target and the second yellow reflection type target are perpendicular to each other, the first red reflection type target and the second red reflection type target, the first blue reflection type target and the second yellow reflection type target, the first red reflection type target and the second red reflection type target are perpendicular to each other, the first blue reflection type target and the second red reflection type target are perpendicular to each to the target.
The first red light reflecting target, the second red light reflecting target, the first blue light reflecting target, the second blue light reflecting target, the first yellow light reflecting target and the second yellow light reflecting target are all round, the red light reflecting film, the blue light reflecting film and the yellow light reflecting film are all made of flexible light reflecting materials, and the day visible light reflectivity and the night visible light reflectivity are respectively larger than or equal to 60% and 65%.
In a specific embodiment, the target is mainly designed by integrating a flexible reflecting material and a polaroid, the accumulated thickness of the component parts is not more than 1mm, the size is 25mm in diameter, and the high-transmittance transverse and longitudinal polaroid, red, yellow and Lan Sanse diamond-grade reflecting films are adopted.
The stroboscopic incandescent lamps are provided with 2 stroboscopic incandescent lamps and alternately flash, each stroboscopic incandescent lamp is provided with 1 polaroid in front and respectively emits two beams of transverse polarized light and longitudinal polarized light which overlap and flash through the polaroids, the transverse polarized light and the longitudinal polarized light irradiate the surface of a target to be detected and excite passive reflection type target passive stroboscopic, a color camera collects target images of areas where the passive reflection type targets are located and inputs a plurality of target images into a data processing unit, and the data processing unit identifies and codes the passive reflection type targets in the target images.
If the polarization plate and the stroboscopic incandescent lamp have the same polarized light direction, the target is lightened. If the direction of polarized light of the stroboscopic incandescent lamp is perpendicular, all light cannot be transmitted, the light becomes dark, three red and blue Huang Babiao are bright at the same time, three red and blue Huang Babiao are dark, and target serial numbers are distinguished through three primary colors. Time 0 was defined, no. ①③⑤ target was light, no. ②④⑥ target was dark, and time 1 was defined, no. ①③⑤ target was dark, no. ②④⑥ target was light. As shown in table 1, the first bit in the code represents either light (0) or dark (1), and the second two bits represent color, where 00 is red, 01 is blue, and 10 is yellow.
TABLE 1
The passive reflection type target recognition method based on linearly polarized light, which is designed by the invention, enables a target light source to actively strobe through a high-frequency asynchronous signal coding technology, separates and recognizes target images according to the characteristics of the background, the target and noise points by utilizing a frame difference method, designs a passive reflection type target based on an optical reflection principle, reflects light rays through a special reflection surface so as to realize accurate recognition of the position and the gesture of the target, has stronger practicability, does not need to modulate an energy output process when the environment is a complex air strong light interference environment, reduces the complexity and the cost of a system, is not influenced by factors such as electromagnetic interference, is suitable for various application scenes including severe weather such as atmospheric turbulence or rain and fog, has stable and reliable measurement results, and meets the requirements of miniaturization and passive design.
It should finally be noted that the above-mentioned embodiments illustrate rather than limit the technical solution of the present invention, and although the invention has been described in detail with reference to the above-mentioned embodiments, it should be understood by those skilled in the art that the present invention may be modified or equivalently replaced without departing from the spirit and scope of the present invention.

Claims (10)

7. The identification system based on the linear polarized light passive reflection type target identification method is characterized by comprising a passive reflection type target, a stroboscopic incandescent lamp, a color camera and a data processing unit, wherein the passive reflection type target comprises a first red reflection type target, a second red reflection type target, a first blue reflection type target, a second blue reflection type target, a first yellow reflection type target and a second yellow reflection type target, the first red reflection type target, the second red reflection type target, the first blue reflection type target, the second blue reflection type target, the first yellow reflection type target and the second yellow reflection type target are respectively glued to the surface of a target to be identified, the stroboscopic lamp is provided with 2 stroboscopic lamps which are alternately flashed, each stroboscopic incandescent lamp is provided with 1 polarizing plate in front, and two beams of overlapped and flashing transverse polarized light and longitudinal polarized light are respectively emitted to the surface of the target to be identified through the polarizing plates, the color camera is used for acquiring images of the area where the passive reflection type target is located, and inputting the images of the passive reflection type target to the data processing unit, and the data processing unit is used for identifying the target.
8. The identification system of claim 7, wherein the first red light reflecting target and the second red light reflecting target each comprise 1 red light reflecting film and 1 polarizer, the first blue light reflecting target and the second blue light reflecting target each comprise 1 blue light reflecting film and 1 polarizer, the first yellow light reflecting target and the second yellow light reflecting target each comprise 1 yellow light reflecting film and 1 polarizer, the polarization directions of the first red light reflecting target and the second red light reflecting target are perpendicular to each other, the polarization directions of the first blue light reflecting target and the second blue light reflecting target are perpendicular to each other, and the polarization directions of the first yellow light reflecting target and the second yellow light reflecting target are perpendicular to each other.
CN202411963465.7A2024-12-302024-12-30Linear polarized light-based passive reflection type target recognition method and recognition system thereofPendingCN119850969A (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN202411963465.7ACN119850969A (en)2024-12-302024-12-30Linear polarized light-based passive reflection type target recognition method and recognition system thereof

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN202411963465.7ACN119850969A (en)2024-12-302024-12-30Linear polarized light-based passive reflection type target recognition method and recognition system thereof

Publications (1)

Publication NumberPublication Date
CN119850969Atrue CN119850969A (en)2025-04-18

Family

ID=95370083

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN202411963465.7APendingCN119850969A (en)2024-12-302024-12-30Linear polarized light-based passive reflection type target recognition method and recognition system thereof

Country Status (1)

CountryLink
CN (1)CN119850969A (en)

Similar Documents

PublicationPublication DateTitle
US11443550B2 (en)Face recognition monitoring system based on spectrum and multi-band fusion and recognition method using same
JP3884321B2 (en) 3D information acquisition apparatus, projection pattern in 3D information acquisition, and 3D information acquisition method
JP7745176B2 (en) Imaging device and imaging method
TWI418207B (en)Improving image quality via multi-wavelength light
CN106372701B (en)A kind of coding of optical label and recognition methods
CN1707250A (en) Optically enhanced microwave imaging system and method
JP2016009474A (en)Object identification system, information processor, information processing method and program
US20160321825A1 (en)Measuring apparatus, system, and program
JP3799858B2 (en) Shape recognition device
CN105844197A (en)Double lens image collecting and processing device used for DPM code reader
US9204130B2 (en)Method and system for creating a three dimensional representation of an object
CN103679194B (en)A kind of traffic light identification method based on optical filter
CN119850969A (en)Linear polarized light-based passive reflection type target recognition method and recognition system thereof
CN117934310B (en)Vascular fluorescence image and RGB image fusion system based on deep learning
JP2022535884A (en) System and method for object recognition under natural and/or artificial light
CN113613189B (en)Pseudo light source identification method based on mark in visible light positioning
CN107392072B (en)Bill two-dimensional code image acquisition method and device based on multiple wavelengths and multiple light sources
JP7079218B2 (en) Imaging device
CN210091196U (en)Object recognition device
CN114841874A (en)Image processing method, device, equipment and storage medium
CN115713756A (en)Method for improving accurate positioning of license plate
CN205486153U (en)A twin -lens image acquisition and processing apparatus for DPM sign indicating number reading ware
Zhu et al.A selectable imaging spectrum vehicle recognition method based on spectral feature
Salvador et al.Cast shadow recognition in color images
CN118644468B (en) A battery surface defect identification method, system, terminal and storage medium

Legal Events

DateCodeTitleDescription
PB01Publication
PB01Publication
SE01Entry into force of request for substantive examination
SE01Entry into force of request for substantive examination

[8]ページ先頭

©2009-2025 Movatter.jp