This is a homework about Edge detection, various image filters and image transformation for Computer vision course @ FUM.

Image enhancement program for damaged image

OpenCv kütüphanesiyle Gaussian ve Ortalama(Mean) Linear filtrelerinin galeriden alınan görüntüye uygulanması.

Matlab scripts for analyzing calcium imaging data presented in "Neural Coding of Leg Proprioception in Drosophila" (Mamiya, Gurung, and Tuthill (2018) Neuron: DOI:https://doi.org/10.1016/j.neuron.2018.09.009)

Command Line Image Processing Application

Implementation of Bilateral filter, Gaussian filter and Edge detecting filters as Gaussian derivative by X an Y. It was written for educational purposes, so it can help you to understand how to process images with these kind of filters

Detection of Diabetic Retinopathy using Retina Images. Filtering on images using Gaussian Blur, using KNN PCA for dimensionality reduction and classification of healthy retina image from unhealthy. Different algorithms like KMeans and Logistic regression used for classification of retina image into one of the five classes.

Spacial Filters

A deep learning classification program to detect the CT-scan results using python

Gaussian filter without in-built functions python

This repository includes my work in the journey to learn Image Processing.

ImageBlend is a Python CLI tool for seamlessly blending faces from two images using Gaussian Pyramids, Laplacian Pyramids, and facial detection algorithms.

Gaussian Filtering using octave scripts

Algorithms and theory exercises for my Numerical Methods II classes. Most codes made in python.

This project is the implementation of the 'Canny Edge Detection' from scratch using python.

Algoritmo de Filtro gaussiano desarrollado en C/C++ para el preprocesamiento de imágenes.

A machine learning project that classifies wastes into biodegradable and non-biodegradable based on images. It utilized Support Vector Machine for the binary classification and computer vision techniques for the preparation of images (data).

Various exercises from image processing class.

Following along an online course that focuses on deep learning applied on self driving cars