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#

clahe

Here are 55 public repositories matching this topic...

bLUe - A simple and comprehensive image editor featuring automatic contrast enhancement, color correction, 3D LUT creation, raw postprocessing, exposure fusion and noise reduction

  • UpdatedMar 4, 2025
  • Python

Accelerated Contrast Limited Adaptive Histogram Equalization

  • UpdatedFeb 21, 2022

common method to enhance some cbct image

  • UpdatedMar 18, 2021
  • Jupyter Notebook

CLAHE implementation on both Python and MATLAB/Octave

  • UpdatedApr 20, 2020
  • Python

Learning to Segment Human Body Parts with Synthetically Trained Deep Convolutional Networks

  • UpdatedMar 17, 2021
  • Python

Sample code of OpenCV library in macOS GUI apps with ‘opencv2.framework’ of version 4.3.0 for an Xcode project.

  • UpdatedNov 26, 2020
  • Objective-C

Contrast Limited Adaptive Histogram Equalization C# .NET Framework

  • UpdatedJan 17, 2018
  • C#

Implementing a simple lane detection algorithm to mimic Lane Departure Warning systems used in Self-Driving Cars.

  • UpdatedJul 1, 2020
  • Python

An auto align pen, aligns drawing to the edges in the picture.

  • UpdatedApr 24, 2021
  • JavaScript

CSCI 631 Foundations of Computer Vision project

  • UpdatedSep 8, 2020
  • C++

under water image enhancement and restoration with reef classifcation

  • UpdatedApr 30, 2022
  • Python

CLAHE (Contrast Limited Adaptive Histogram Equalization)

  • UpdatedNov 23, 2021
  • Python
Retinal-Blood-Vessels-Segmentation-and-Denoising

A Morphological Hessian Based Approach for Retinal Blood Vessels Segmentation and Denoising Using Region-Based Otsu Thresholding

  • UpdatedDec 4, 2021
  • Jupyter Notebook

This DR detection methodology has six steps: preprocessing, segmentation of blood vessels, segmentation of OD, detection of MAs and hemorrhages, feature extraction and classification. For segmentation of blood vessels BCDU-Net is used. For OD segmentation, U-Net model is used. MAs and hemorrhages are extracted using Otsu thresholding technique. …

  • UpdatedOct 2, 2020
  • Jupyter Notebook

In this reprositorio the CLAHE technique (Contrast limited adaptive histogram equalization) is presented, in the area of image processing one of the most used functions is the enhancement contrast, this technique is used when an image has a deficient contrast. Moreover, CLAHE was originally developed for medical imaging and has been shown to be …

  • UpdatedOct 12, 2021
  • MATLAB

カラー画像に対するヒストグラム平坦化のOpenCVサンプルです。

  • UpdatedJan 28, 2021
  • Python

enhance and restore different types of images by using various approaches

  • UpdatedApr 24, 2023
  • Python

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