MATLAB Implementation for Target Labeling Functionality
This MATLAB program implements target labeling through image processing, converting images to binary format by superimposing them on black backgrounds using segmentation techniques
Detecting Peaks in Curves
Extract curves from images and detect peaks within the curves, with support for multi-peak detection using signal processing algorithms.
Image to Video Conversion in MATLAB
MATLAB implementation for converting images to video with adjustable parameters including frame rate, compression ratio, and resolution optimization
MATLAB Implementation for Region of Interest Extraction
Region of Interest extraction technique applicable to license plate recognition and typhoon image processing with effective results, featuring code implementation using edge detection and morphological operations
MATLAB Implementation of OMP Algorithm for Sparse Representation
OMP Algorithm: Implementation of Matching Pursuit method that takes dictionary and image as inputs to compute sparse coefficients representing the image in the dictionary space, with detailed explanations and code insights.
Image Sharpness Evaluation Algorithm Based on Statistical Image Information Entropy
This algorithm evaluates image sharpness by calculating the statistical information entropy of images - sharp images exhibit higher entropy values while blurred images show lower entropy measurements, with implementation typically involving histogram calculation and probability distribution analysis.
MATLAB Implementation of Harris Corner Detection with Code Explanation
Harris corner detection algorithm implementation in MATLAB for identifying corner points in images, enabling image matching through feature point correspondence
Three Watershed Segmentation Methods for Images
Three watershed segmentation techniques for images: standard watershed segmentation, two-step gradient-based watershed segmentation, and three-step watershed algorithm combining gradient and mask operations
MATLAB Image Denoising Program - Noise Removal Implementation
Comprehensive MATLAB image denoising program featuring multiple noise reduction algorithms including salt-and-pepper and Gaussian noise removal techniques with practical implementation examples.
MATLAB Implementation of PCA Algorithm with Projection Visualization
Implementing Principal Component Analysis (PCA) in MATLAB to calculate and visualize image projections onto the first, second, and third principal components. This tutorial covers the complete workflow from image preprocessing to projection reconstruction with code implementation details.