CN101655444B

Movatterモバイル変換

Info

Publication number: CN101655444B
Application number: CN2009103059491A
Authority: CN
Inventors: 吴黎明
Original assignee: Shenzhen City Green Science & Technology Co
Current assignee: Shenzhen Lvyejianghe Technology Co., Ltd.
Priority date: 2009-08-21
Filing date: 2009-08-21
Publication date: 2011-04-20
Anticipated expiration: 2029-08-21
Also published as: CN101655444A

Abstract

本发明提供一种视频图像藻类分类检测系统，其包括流通池，活塞，显微镜物镜，光源，拍摄装置以及图像分析处理单元，所述的活塞以及显微镜物镜分别设置在该流通池的上下两侧，所述的活塞嵌入该流通池的一侧壁并可相对滑动，所述的光源设置在流通池的一侧或两侧，所述的显微镜物镜与该拍摄装置相连，该拍摄装置与该图像分析处理单元相连。本发明的视频图像藻类分类检测系统，用基于图像分析的自动分类和密度计算取代传统的人工肉眼辨别技术，大大减少藻类检测的工作量，缩短检测时间，通过静态拍照方法，提高图像质量的同时，达到可以计算机分析的水平，可以根据形态自动分类保证系统完全自动进样，自动拍照，自动进行图像分析和计数，自动测算水样体积，最后自动实现藻密度计算。

The invention provides a video image algae classification detection system, which includes a flow cell, a piston, a microscope objective lens, a light source, a photographing device and an image analysis and processing unit. The piston and the microscope objective lens are respectively arranged on the upper and lower sides of the flow cell, The piston is embedded in one side wall of the flow cell and can slide relatively, the light source is arranged on one side or both sides of the flow cell, the microscope objective lens is connected with the shooting device, and the shooting device is connected with the image analysis device. The processing unit is connected. The video image algae classification and detection system of the present invention replaces the traditional artificial naked eye discrimination technology with automatic classification and density calculation based on image analysis, greatly reduces the workload of algae detection, shortens the detection time, and improves image quality through static photography. , reaching the level that can be analyzed by computer, it can be automatically classified according to the shape to ensure that the system is completely automatic sample injection, automatic photography, automatic image analysis and counting, automatic measurement of water sample volume, and finally automatic calculation of algae density.

Description

Translated fromChinese

视频图像藻类分类检测系统Video Image Algae Classification Detection System

技术领域technical field

本发明涉及检测系统，特别是一种用在环保、自来水和水利行业对水体中藻类危害进行检测评估上的视频图像藻类分类检测系统。The invention relates to a detection system, in particular to a video image algae classification detection system used in environmental protection, tap water and water conservancy industries to detect and evaluate algae hazards in water bodies.

背景技术Background technique

监测水中藻类的情况是现阶段监测水质的一种重要内容，为了能更好更有效的监测藻类的情况，业界也进行了很多种技术的变革。Monitoring the condition of algae in water is an important part of monitoring water quality at this stage. In order to better and more effectively monitor the condition of algae, the industry has also carried out many technological changes.

现有的一种方式是流动态图像检测的方式，但是这种方式在流动时拍照，图像质量受到影响，图像分析正确率比较低。因此虽然有这种技术，但主要用来根据细胞大小进行分类，不能满足根据形态分类的要求，应用需求不高。One of the existing methods is the method of flow dynamic image detection, but this method takes pictures while flowing, the image quality is affected, and the accuracy of image analysis is relatively low. Therefore, although this technology exists, it is mainly used to classify cells according to their size, which cannot meet the requirements of classification based on morphology, and the application requirements are not high.

由于藻类检测过程需要对藻类进行分类计数，同时需要检测这些藻在多少水体中，最后计算出不同藻的密度。已有的技术或者无法自动检测水样体积，或者没有自动进样装置，无法实现藻类密度的自动检测。Since the algae detection process needs to classify and count the algae, it also needs to detect how many water bodies these algae are in, and finally calculate the density of different algae. The existing technology either cannot automatically detect the volume of the water sample, or does not have an automatic sampling device to realize the automatic detection of the algae density.

发明内容Contents of the invention

为了克服上述现有技术的不足，本发明提供一种高效的视频图像藻类分类检测系统及其控制方法。In order to overcome the shortcomings of the prior art above, the present invention provides an efficient video image algae classification detection system and a control method thereof.

本发明解决其技术问题所采用的技术方案是：提供一种视频图像藻类分类检测系统，其包括流通池，活塞，显微镜物镜，光源，拍摄装置以及图像分析处理单元，所述的活塞以及显微镜物镜分别设置在该流通池的上下两侧，所述的活塞嵌入该流通池的一侧壁并可相对滑动，所述的光源设置在流通池的一侧或两侧，所述的显微镜物镜与该拍摄装置相连，该拍摄装置与该图像分析处理单元相连。The technical solution adopted by the present invention to solve the technical problems is: provide a video image algae classification detection system, which includes a flow cell, a piston, a microscope objective lens, a light source, a photographing device and an image analysis and processing unit, the piston and the microscope objective lens respectively arranged on the upper and lower sides of the flow cell, the piston is embedded in the side wall of the flow cell and can slide relatively, the light source is arranged on one side or both sides of the flow cell, the microscope objective lens and the The photographing device is connected, and the photographing device is connected with the image analysis and processing unit.

本发明解决进一步技术问题的方案是：被检水样的水流方向是沿所述的流通池的左右方向。The solution of the present invention to solve the further technical problem is: the water flow direction of the tested water sample is along the left and right directions of the flow cell.

本发明解决进一步技术问题的方案是：所述的流通池和活塞是由透明材料制成。The solution of the present invention to solve the further technical problem is: the flow cell and the piston are made of transparent materials.

本发明解决进一步技术问题的方案是：所述的拍摄装置为CCD拍摄装置。The solution of the present invention to solve the further technical problem is: the photographing device is a CCD photographing device.

本发明解决进一步技术问题的方案是：引入要监测的水样，所述的活塞沿远离该显微镜物镜的方向移动。The solution of the present invention to solve the further technical problem is: introduce the water sample to be monitored, and the piston moves in a direction away from the objective lens of the microscope.

本发明解决进一步技术问题的方案是：当进样完成后，水流停止，所述的活塞向靠近该显微镜物镜的方向移动。The solution of the present invention to solve the further technical problem is: when the sample injection is completed, the water flow stops, and the piston moves towards the direction close to the objective lens of the microscope.

本发明解决进一步技术问题的方案是：该活塞移动到离流通池上端5到20微米位置。The solution of the present invention to solve the further technical problem is: the piston moves to a position 5 to 20 microns away from the upper end of the flow cell.

本发明解决进一步技术问题的方案是：该视频图像藻类分类检测系统控制该显微镜物镜移动到不同位置。The solution of the present invention to solve the further technical problem is: the video image algae classification detection system controls the microscope objective lens to move to different positions.

本发明解决进一步技术问题的方案是：所述的显微镜物镜选取100-1000个不同视野进行拍照。The solution of the present invention to solve the further technical problem is: the microscope objective lens selects 100-1000 different fields of view to take pictures.

本发明解决进一步技术问题的方案是：将拍摄的结果发送至该图像分析处理单元进行图像分析和识别，将拍摄的结果发送至该图像分析处理单元进行图像分析和识别，该图像分析处理单元计算视野的水样体积，根据计数结果和水样体积计算出分类藻密度。The solution of the present invention to solve the further technical problem is: send the shooting result to the image analysis processing unit for image analysis and recognition, send the shooting result to the image analysis processing unit for image analysis and recognition, and the image analysis processing unit calculates The volume of the water sample in the visual field, and the density of the classified algae is calculated according to the counting result and the volume of the water sample.

相较于现有技术，本发明的视频图像藻类分类检测系统，用基于图像分析的自动分类和密度计算取代传统的人工肉眼辨别技术，大大减少藻类检测的工作量，缩短检测时间，通过静态拍照方法，提高图像质量的同时，达到可以计算机分析的水平，可以根据形态自动分类保证系统完全自动进样，自动拍照，自动进行图像分析和计数，自动测算水样体积，最后自动实现藻密度计算。Compared with the prior art, the video image algae classification and detection system of the present invention replaces the traditional artificial naked eye identification technology with automatic classification and density calculation based on image analysis, which greatly reduces the workload of algae detection, shortens the detection time, and through static photography The method improves the image quality and at the same time reaches the level that can be analyzed by computer. It can automatically classify according to the shape to ensure that the system can completely automatically inject samples, automatically take pictures, automatically perform image analysis and counting, automatically measure and calculate the volume of water samples, and finally automatically realize the calculation of algae density.

附图说明Description of drawings

图1是本发明的视频图像藻类分类检测系统的原理结构示意图。FIG. 1 is a schematic diagram of the principle structure of the video image algae classification and detection system of the present invention.

图2是本发明的视频图像藻类分类检测系统的工作示意图。Fig. 2 is a working diagram of the video image algae classification and detection system of the present invention.

具体实施方式Detailed ways

以下内容是结合具体的优选实施方式对本发明所作的进一步详细说明，不能认定本发明的具体实施只局限于这些说明。对于本发明所属技术领域的普通技术人员来说，在不脱离本发明构思的前提下，还可以做出若干简单推演或替换，都应当视为属于本发明的保护范围。The following content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and it cannot be assumed that the specific implementation of the present invention is limited to these descriptions. For those of ordinary skill in the technical field of the present invention, without departing from the concept of the present invention, some simple deduction or replacement can be made, which should be regarded as belonging to the protection scope of the present invention.

请一并参阅图1以及图2，本发明提供一种视频图像藻类分类检测系统，其包括流通池11，活塞12，显微镜物镜13，光源14，拍摄装置(图未示)以及图像分析处理单元(图未示)。Please refer to Fig. 1 and Fig. 2 together, the present invention provides a kind of video image algae classification detection system, it comprisesflow cell 11,piston 12, microscopeobjective lens 13,light source 14, photographing device (not shown) and image analysis processing unit (not shown).

被检水样的水流方向是沿所述的流通池11的左右方向，所述的活塞12以及显微镜物镜13分别设置在该流通池11的上下两侧，所述的活塞12嵌入该流通池11的一侧壁并可相对滑动。所述的光源14设置在流通池11的一侧或两侧。所述的显微镜物镜13与该拍摄装置相连，该拍摄装置与该图像分析处理单元相连。The water flow direction of the water sample to be tested is along the left and right directions of theflow cell 11, thepiston 12 and the microscopeobjective lens 13 are respectively arranged on the upper and lower sides of theflow cell 11, and thepiston 12 is embedded in theflow cell 11 One side wall and can slide relatively. Thelight source 14 is arranged on one side or both sides of theflow cell 11 . The microscopeobjective lens 13 is connected with the photographing device, and the photographing device is connected with the image analysis and processing unit.

所述的流通池11和活塞12是由透明材料制成，所述的拍摄装置为CCD拍摄装置。Theflow cell 11 and thepiston 12 are made of transparent materials, and the photographing device is a CCD photographing device.

为了保证流通池11不堵塞，该流通池的高度在厘米量级。In order to ensure that theflow cell 11 is not blocked, the height of the flow cell is on the order of centimeters.

工作时，首先是进样，即引入要监测的水样，所述的活塞沿远离该显微镜物镜13的方向移动，使得进样流量加大，保证进样顺利，减少被测水样在该视频图像藻类分类检测系统中的停留滞后时间。When working, the first thing is to inject the sample, that is, to introduce the water sample to be monitored, and the piston moves in a direction away from theobjective lens 13 of the microscope, so that the flow rate of the sample injection is increased, ensuring smooth sample injection, and reducing the number of water samples to be tested. Dwelling lag time in an image algae classification detection system.

当进样完成后，水流停止，所述的活塞12向靠近该显微镜物镜13的方向移动，该活塞12移动到离流通池11上端约5到20微米位置，由于镜头景深比较小，只有在这种状态下显微镜取得的图像才清晰。该视频图像藻类分类检测系统控制该显微镜物镜13移动到不同位置，选取100-1000(或者任意多)个不同视野进行拍照，并将拍摄的结果发送至该图像分析处理单元进行图像分析和识别。After sample injection is finished, water flow stops, and describedpiston 12 moves toward the direction close to this microscopeobjective lens 13, and thispiston 12 moves to about 5 to 20 micron position away fromflow cell 11 upper end, because lens depth of field is relatively small, only in this Only in this state can the image obtained by the microscope be clear. The video image algae classification detection system controls the microscopeobjective lens 13 to move to different positions, selects 100-1000 (or arbitrarily many) different fields of view to take pictures, and sends the captured results to the image analysis and processing unit for image analysis and identification.

该图像分析处理单元计算该100-1000(或者任意多)个视野的水样体积，根据计数结果和水样体积计算出分类藻密度。The image analysis and processing unit calculates the water sample volumes of the 100-1000 (or any number of) visual fields, and calculates the density of classified algae according to the counting results and the water sample volumes.

本发明的视频图像藻类分类检测系统大大加快了拍照和识别速度，使得每次检测可以检测的视野数至少可以比人工检测提高10倍，这样显微镜下水层厚度可以是人工检测时的十分之一到五分之一。在这样的水层厚度下，藻类的图像更清晰，图像识别准确性提高。The video image algae classification detection system of the present invention greatly speeds up the speed of photographing and recognition, so that the number of fields of view that can be detected for each detection can be at least 10 times higher than that of manual detection, so that the thickness of the water layer under the microscope can be 1/10 of that of manual detection. to a fifth. Under such a water layer thickness, the image of algae is clearer, and the accuracy of image recognition is improved.

本发明的视频图像藻类分类检测系统，用基于图像分析的自动分类和密度计算取代传统的人工肉眼辨别技术，大大减少藻类检测的工作量，缩短检测时间，通过静态拍照方法，提高图像质量的同时，达到可以计算机分析的水平，可以根据形态自动分类保证系统完全自动进样，自动拍照，自动进行图像分析和计数，自动测算水样体积，最后自动实现藻密度计算。The video image algae classification detection system of the present invention replaces the traditional manual naked eye identification technology with automatic classification and density calculation based on image analysis, greatly reduces the workload of algae detection, shortens the detection time, and improves image quality through static photography. , reaching the level that can be analyzed by computer, it can be automatically classified according to the shape to ensure that the system is completely automatic sample injection, automatic photography, automatic image analysis and counting, automatic measurement of water sample volume, and finally automatic calculation of algae density.

Claims

Translated fromChinese

1.一种视频图像藻类分类检测系统，其包括流通池、活塞、显微镜物镜、光源、拍摄装置以及图像分析处理单元，1. A video image algae classification detection system, which includes a flow cell, a piston, a microscope objective lens, a light source, a photographing device and an image analysis and processing unit,

所述的活塞以及显微镜物镜分别设置在该流通池的上下两侧，所述的活塞嵌入该流通池的一侧壁并可相对侧壁滑动，所述的光源设置在流通池的一侧或两侧，所述的显微镜物镜与该拍摄装置相连，该拍摄装置与该图像分析处理单元相连；The piston and the microscope objective lens are respectively arranged on the upper and lower sides of the flow cell, the piston is embedded in the side wall of the flow cell and can slide relative to the side wall, and the light source is arranged on one side or both sides of the flow cell On the side, the microscope objective lens is connected with the photographing device, and the photographing device is connected with the image analysis and processing unit;

为了保证所述流通池不堵塞，该流通池的高度在厘米量级；In order to ensure that the flow cell is not blocked, the height of the flow cell is on the order of centimeters;

工作时，首先是进样，即引入要监测的水样；When working, the first is to inject the sample, that is, to introduce the water sample to be monitored;

当进样完成后，水流停止，所述的活塞向靠近该显微镜物镜的方向移动；After the sample injection is completed, the water flow stops, and the piston moves in a direction close to the objective lens of the microscope;

该活塞移动到离流通池上端5到20微米位置；The piston moves to a position 5 to 20 microns away from the upper end of the flow cell;

该视频图像藻类分类检测系统控制该显微镜物镜移动到不同位置；所述的显微镜物镜选取100-1000个不同视野进行拍照，并将拍照的结果发送至该图像分析处理单元进行图像分析和识别，该图像分析处理单元计算视野的水样体积，根据计数结果和水样体积计算出分类藻密度；The video image algae classification detection system controls the microscope objective lens to move to different positions; the microscope objective lens selects 100-1000 different fields of view to take pictures, and sends the results of the pictures to the image analysis and processing unit for image analysis and recognition. The image analysis processing unit calculates the volume of the water sample in the field of view, and calculates the density of classified algae according to the counting result and the volume of the water sample;

其特征在于：It is characterized by:

进样时，所述的活塞沿远离该显微镜物镜的方向移动，使得进样流量加大，保证进样顺利，减少被测水样在该视频图像藻类分类检测系统中的停留滞后时间。During sample injection, the piston moves away from the objective lens of the microscope to increase the flow rate of sample injection, ensure smooth sample injection, and reduce the dwell time of the tested water sample in the video image algae classification detection system.

2.根据权利要求1所述的视频图像藻类分类检测系统，其特征在于：被检水样的水流方向是沿所述的流通池的左右方向。2. The video image algae classification and detection system according to claim 1, wherein the water flow direction of the water sample to be tested is along the left and right directions of the flow cell.

3.根据权利要求1所述的视频图像藻类分类检测系统，其特征在于：所述的流通池和活塞由透明材料制成。3. The video image algae classification detection system according to claim 1, characterized in that: the flow cell and the piston are made of transparent materials.

4.根据权利要求1所述的视频图像藻类分类检测系统，其特征在于：所述的拍摄装置为CCD拍摄装置。4. The video image algae classification detection system according to claim 1, characterized in that: the shooting device is a CCD shooting device.