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

Accelerated Contrast Limited Adaptive Histogram Equalization

common method to enhance some cbct image

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

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

CLAHE implementation on both Python and MATLAB/Octave

Contrast Limited Adaptive Histogram Equalization C# .NET Framework

CSCI 631 Foundations of Computer Vision project

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

under water image enhancement and restoration with reef classifcation

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

Basic Image Processing in C, Matlab and Python

Here, I have done my Final year Project on Kaggle Dataset

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

CLAHE (Contrast Limited Adaptive Histogram Equalization)

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. …

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。

Algorithms in Digital Image Processing : Implemented Bilateral Filtering, Patch-Based Filtering, Wiener Filter, CLAHE (Contrast-Limited Adaptive Histogram Equalization), Mean shift segmentation, and Harris corner detector using MATLAB

Unsupervised region proposal and supervised patch extraction algorithms for extracting candidate 2D ROIs to train SVM/CNN classifiers, for mass detection in mammograms.