Edge Detection in Digital Image Processing
Edge Detection in Digital Image Processing (Prewitt Edge Detection Algorithm - prewitt.m Implementation)
Digital Image Processing: Image Enhancement, Histogram Processing, and Filtering Techniques
A comprehensive guide for beginners in digital image processing, covering essential techniques including image enhancement algorithms, histogram processing methods, and various filtering approaches with practical implementation insights.
Wavelet Denoising in Digital Image Processing
MATLAB implementation of wavelet denoising for digital image processing with practical code examples and technical explanations
MATLAB Implementation of Hough Transform for Line and Shape Detection
This implementation demonstrates Hough Transform functionality matching the examples from Chapter 10 of Gonzalez's Digital Image Processing book, complete with visualizations and code annotations for linear and circular feature detection algorithms.
MATLAB Code Implementation for Digital Image Processing
MATLAB-based digital image processing with GUI interface, operational code for loading images and applying various transformations including filtering, enhancement, and segmentation algorithms
MATLAB Implementation for Digital Image Processing: Chromosome Counting through Edge Detection and Morphological Operations
A MATLAB-based digital image processing program that analyzes chromosome images using edge detection, erosion, dilation, and morphological operations (opening and closing) to accurately count chromosome numbers. This implementation demonstrates computer vision techniques for biomedical image analysis.
Histogram Equalization and Histogram Matching Programs
Implementation based on Gonzalez's Digital Image Processing methods using MATLAB for histogram equalization and histogram matching procedures, including the original image for comparison
MATLAB-Based Digital Image Processing Source Code for Text Recognition
Source files for text recognition using MATLAB digital image processing, featuring comprehensive algorithms and implementation examples
Modified Region Growing Algorithm from Gonzalez's Digital Image Processing
Enhanced implementation of the region growing method from Gonzalez's "Digital Image Processing" featuring three distinct seed point selection approaches: grayscale-based selection, position-based selection, and interactive single-seed selection with corresponding code implementation strategies.
Digital Image Processing Experimental Report
Experimental Report on Digital Image Processing containing grayscale image processing, various noise removal techniques, frequency domain filters (Butterworth, Gaussian, and Ideal filters), edge detection, and image sharpening methods. Includes complete MATLAB implementations with experimental procedures, algorithm descriptions using key functions like fft2 and imfilter, and comprehensive result analysis.