Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles

Project on Vehicle Detection, Classification, and Counting. Done in python using OpenCV.

This repository contains projects related to various aspects of image processing, from basic operations to advanced techniques like active contours. Examples and case studies focus on applications in medical imaging.

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

This repository contains the implementation of an Object Detection and Classification & Line and Circle Detection Application

18-31 Ağustos 2019 tarihlerinde Bilgisayar Mühendisleri Odası ve Kadıköy Belediyesi (İDEA Kadıköy) tarafından düzenlenecek olan Yapay Zekâ Yaz Atölyesi için görüntü işleme dersi kapsamında hazırlanmıştır.

image and photo editor with many extra features in python

High performance morphology in Rust

CS-663 Course Project

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

Detection of small drilled holes in a PCB and detect incorrect drilled hole placements

VAMPIRE (Visually Aided Morpho-Phenotyping Image Recognition) analysis quantifies and visualizes heterogeneity of cell and nucleus morphology.

Crack detection pipeline using traditional image processing techniques and Support Vector Machine (SVM) classification.

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.

Ultrasound Image Segmentation

Automatic Number Plate Recognition (ANPR) using python

Assignment work done for an Image and Video Analytics course

A system to detect whether a motorcyclist wearing a helmet or not. YOLO object detection network, Gaussian Mixture Model and Matlab Programming Languages are used.

Contains all my submission for my Applied Physics 157 Course

Flower counting technique is used to get an approximation of the count of number of flowers using MATLAB.Counting of the flowers is done by enhancement techniques following by the segmentation of our region of interest and then counting the resultant segmented elements.