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

Extracting the structural skeleton of images using morphological operations.

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

A lightweight, heuristic-based algorithm for segmenting characters in Iranian license plates using OpenCV. Features robust handling of shadows, noise, and connected characters without Deep Learning, achieving 98.68% accuracy.

Image Processing Algorithms

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.

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.

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.

Structured implementations of classical computer vision primitives in MATLAB, covering filtering, frequency-domain analysis, wavelets, morphology, registration, and texture modeling with reproducible export-first design.