spatial-filtering

This repository includes useful MATLAB codes for the detection of SSVEP in EEG signals using spatial filters, frequency recognition algorithms, and machine-learning methods.

Image Processing Implementation

In this repository, we implement common image processing techniques in Python and fully describe their algorithms.

A set of implementations of image processing and feature extraction algorithms with OpenCV

MATLAB implementation of Digital Image Processing techniques.

Digital image processing algorithms in Python3 and OpenCV

Exploring Brain Signal Processing Pipelines for Kaggle Challenges

Image Processing Using OpenCV, PIL & From Scratch

In this repository, we are going to get acquainted with the fundamental and essential things in the field of image processing, we will learn how to implement basic algorithms and functions, and we will follow the necessary things in the field of image processing.

Code I wrote for the imgproc course at school

In this project I implemented 2D convolution function using MATLAB and applied it on some images using different kernels.

Different spatial filter/kernel applied to images.

Exploring computer vision techniques and algorithms. Including spatial and frequency domain filtering, transformation, and color spaces.

Image denoising ARC-filter based on 3x3 window rank sorting and Otsu clustering to restore images corrupted by mixed (impulse and Gaussian) noise

Digital Image Processing Coding Assignments Repository

This function crops a hyperspectral image by keeping pixels with intensities in a defined range.

Spatial-domain image processing in Python -- brightness/contrast adjustment, histogram equalization, CLAHE, Gaussian/median filtering, sharpening, and adaptive thresholding with OpenCV.

Implementation of advanced image processing techniques, including filtering, transformations, segmentation, and enhancement using Python and OpenCV

Course related codes