MATLAB Image Processing Implementation: Reading, Grayscale Conversion, Binarization, Edge Detection, and Hough Transform

MATLAB 10.72M 252 views 0 downloads 1 credits
Tags:

Resource Overview

MATLAB-based image processing application featuring image reading, grayscale transformation, binarization, edge detection, and Hough transform with a simple GUI interface for real-time result visualization

Detailed Documentation

This MATLAB implementation performs comprehensive image processing operations including image reading, grayscale conversion, binarization, edge detection, and Hough transform, complemented by a simple user interface. The program enables rapid image processing with capabilities to adjust grayscale levels, convert images to binary format, detect edges, and identify lines/circles using Hough transform. Key implementation details include using imread() for image loading, rgb2gray() for grayscale conversion, imbinarize() with adaptive thresholding for binarization, edge() function with Canny/Sobel operators for edge detection, and hough()/houghpeaks() functions for line/circle detection. The GUI is built using MATLAB's App Designer or GUIDE, allowing users to conveniently process images and visualize results in real-time through interactive controls and dynamic display updates.

You May Also Like