EC351: Introduction to Algorithms

In this study, a method has been developed and demonstrated for industrial cameras to determine the optimum camera position during the image acquisition phase.

Hand-Crafted Convolutional Filters 4 Time Series

The main objective of this project is to design a system using Open CV that can detect lane lines and estimate vehicular offset value with the help of lane curvature.

Programs to detect edges in Images using the Sobel filter, detect points using the Laplacian kernel, detect lines and circles using the Hough transform and detect cursors using template matching.

Edge detection in color images using sobel filtering and Fourier transform for Quaternions.

Deals with Feature engineering and applying various Image Processing Techniques on the MNIST dataset.

(Semi) Automated Image Processing

Implementation of Probability based Boundary Detection

Image edge detection algorithms such as Laplacian of Gaussian(LoG) , Canny filter , Roberts Cross Operator , Sobel Operator.

Implementation of Probability Based Boundary Detection Algorithm

This Repository consists of implementation of probability based boundary detection algorithm which gives more accurate results than canny edge detection.

Image processing implementations developed in practical DIP course classes.

Morphology, convolutions and Fourier transform for image processing with PyTorch

A collection of digital image processing techniques implemented in Python using OpenCV. Includes functionalities such as image smoothing, edge detection using Laplacian, Prewitt, and Sobel operators, unsharp masking, and high-boost filtering.

imageProcess edge detection (roberts , sobel, prewitt,stochastic filter)

A Python script that takes images and constructs waveform representations of them.

Advanced Lane Finding (project 2 of 9 from Udacity Self-Driving Car Engineer Nanodegree)