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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.
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
Demonstration of a few useful segmentation algorithms.
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.
Background subtraction morphologically without using Artificial Intelligence (AI)
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.
Material for a lecture on Skeletonization of binary images. Developed for Signal, Image and Video Course project @unitn
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.
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.
All codes written by me in my Digital Image Processing & Analysis course.
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 includes basics of image processing with OpenCV and image processing projects.
:hand: Hand detection and segmentation using multimodal information from Kinect
Making Grid Lines Visible from a Image using opencv python
This software was designed to improve the time of manual digital images processing of big image datasets
Program built using C++ and openCv library to perform morphology operations to enhance the quality on medical images
A collection of assignments and a project completed for the course 'Introduction to Image Processing'
Collection of Matalb algorithms implemented by me that carry out the computer vision operations like the following.
Package for a simple paragraph recognition based on the morphology operator
this is a simple paragraph recognition based on the morphology operator
Evolves a string of morphological operators for CNN training on the CIFAR-10 dataset.
Codes written for assignments of CS60052 (Spring'20)
Specific toolbox for image processing
Example of how to use MATLAB Experiment Manager to manipulate very large images in the context of computational pathology (CPATH).
This project aims at performing a segmentation of each frame of 4 given videos using two possible methods, one based on multiple OpenCv tools, and one on the OpenCV's Watershed implementation.
A Python Implementation of "Opening and Closing Surfaces"
Road Extraction Using K-Means Clustering and Morphological Operations
Using morphological image processing and easyOCR to recognize license plates; Demonstrating the realtime detection with webcam in Google Colab.