All assignments completed as a part of my Digital Image Processing Course

Basic numpy implementation of Otsu and Niblack algoritms

Image scanner using different thresholding methods

otsu 的matlab实现

vehicle plate recognition and detection system

Image Processing From Scratch in Pyhon 🐍

Java implementation of the otsu algorithm for image binarization

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。

OTSU method is a global adaptive binarization threshold image segmentation algorithm.

This repository contains solutions to the assignments of the Sensor Data Analytics Course at ELTE.

Application of Image Segmentation algorithms to understand “How sustainable is the pace of Urbanisation & Net land usage?” scoped on two geographical locations.

This matlab project segments leaves from a plant using varios pre-processing techniques followed by the watershed segmentation algorithm.

Explore image processing techniques including edges detection, background extraction, and more.

MiorSoft web pages

This project tests a variety of different image segmentation methods by performing image segmentation on a dataset of single-object images. We will score the results of each method by performing image classification with a single model on the segmented images and recording the accuracy. The better each object is segmented from the images the hig…

Change detection with computer vision techniques

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

Use of Deep Learning for Optical Character Recognition

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