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

CLAHE implementation on both Python and MATLAB/Octave

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

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

CSCI 631 Foundations of Computer Vision project

CLAHE (Contrast Limited Adaptive Histogram Equalization)

Contrast Limited Adaptive Histogram Equalization C# .NET Framework

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

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

under water image enhancement and restoration with reef classifcation

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

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

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 …

Basic Image Processing in C, Matlab and Python

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。

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. …

Histogram equalization in Rust