首个中文的简单从零开始实现视觉SLAM理论与实践教程，使用Python实现。包括：ORB特征点提取，对极几何，视觉里程计后端优化，实时三维重建地图。A easy SLAM practical tutorial (Python).图像处理、otsu二值化。更多其他教程我的CSDN博客

nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.

Image Processing: Segmentation Using Otsu Threshold Method

A Julia package of algorithms for analyzing images and automatically binarizing them into background and foreground.

Fast pairwise nearest neighbor based algorithm with C# console

Image filters for digital pathology: detect pen marks, background, and artifacts. Use them for preprocessing towards deep learning

In this repository, I implement a system for extract blood vessels from DRIVE images.

It is a desktop application that performs license plate recognition from vehicle photos.

A Julia package for determining thresholds by analyzing one-dimensional histograms

MiorSoft web pages

otsu 的matlab实现

Automatic thresholding of image using OTSU method

Estimate quality parameters for several images of linear barcodes according to the specific ISO/IEC 15416.

nQuantGpp includes top 10 color quantization algorithms for g++ producing high quality optimized images.

Image Processing From Scratch in Pyhon 🐍

2値化について説明したブログ記事のコードや本文のファイルをアップロードしています。

Implementation of a Shape Detection pipeline for recognizing those famous traffic bollards found in Amsterdam without any Image Processing libraries

This repo includes; Image Negative, Logarithmic Transformation, Power-Law (Gamma) Transformation, Averaging Filter, Median Filter, Laplacian Filter, Sobel Gradiant, Histogram Equalization, DFT, Marr and Hildreth, Otsu Thresholding, Global thresholding

Fast pairwise nearest neighbor based algorithm with Java Swing

Convex Polygon Detection