SJTU CS386 Digital Image Processing

This Repository demonstrates how can one apply various image pre-processing, image processing & image post-processing techniques in MATLAB environment.

Woolz is a set of software libraries and executables for image processing.

Multilabel and Grey 3D morphological image processing functions. Dilate, Erode, Opening, Closing, Hole Filling.

Programs to detect clusters in data using GMM and compressed images (Color Quantization) using k-means clustering methods, detect bone fragments in an X-ray image using Segmentation and de-noise binary images using Morphological Image Processing.

ECG signal conditioning by Morphological Filtering - Biomedical Signal Processing project

The project is a part of the Series Visualizing the Code with Geekosophers which is designed to give users the ability to visualize different morphological operations which includes- Dilation, Erosion, Opening and Closing.

Background subtraction morphologically without using Artificial Intelligence (AI)

This program is implemented to count the number of cells in the image. The cells are also labeled and the perimeter and area are calculated for each cell.

Demonstration of a few useful segmentation algorithms.

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

Skull stripping using Morphologial Operators and Image denoising using Rough Sets along with other interesting problems.

Material for a lecture on Skeletonization of binary images. Developed for Signal, Image and Video Course project @unitn

All codes written by me in my Digital Image Processing & Analysis course.

This repository contains the code and evaluation results for the paper: "Towards improving edge quality using combinatorial optimization and a novel skeletonize algorithm"

Skin segmentation is basic and key in the hand gesture recognition. Since skin color is within a threshold range, thresholding a color space, we can swiftly segment the desired region.

This repository includes basics of image processing with OpenCV and image processing projects.

This is a web based application which takes as input the image of a handdrawn flow chart with text and polygonal hapes, and digitailzes it.

This repository provides a set of tools for detecting and highlighting subtitles in video frames. The project leverages OpenCV for image processing to detect text areas in video frames and save the results. The code performs various preprocessing steps on each frame and segments subtitles using morphological operations.