[MIDL 2022 Oral] Learning Morphological Feature Perturbations for Calibrated Semi Supervised Segmentation

Extracting the structural skeleton of images using morphological operations.

Image Processing Algorithms

Brain tumor segmentation using unsupervised methods (K means++ clustering) with morphology operation for postprocessing

Morphological operations in image processing using opencv

Medical Image Segmentation and Anatomical Measurement Extraction with MATLAB & Python.

This repository contains all the assignments I worked on as a part of the seminar for the course "Medical Visualization" from my Master's degree.

Complete Python pipeline for detecting horizontal and vertical boards in 16-bit TIFF images. Uses OpenCV and NumPy for edge detection, line extraction, board grouping, gap filling, and generates labeled visualizations. Optimized for grayscale industrial images and easily adjustable for custom parameters.

Coding solutions to multiple image processing problems like distance calculation, noise, contrast, and compression using different techniques like Distance Transform, Low-Pass Filters, Morphological Operators, and LZW Compression.