Harris Corner Detection Implementation Using MATLAB
MATLAB-based Harris Corner Detection - Widely applied in image processing, panorama stitching, and image fusion with detailed algorithm implementation and feature extraction demonstrations.
Explore MATLAB source code curated for "图像处理" with clean implementations, documentation, and examples.
MATLAB-based Harris Corner Detection - Widely applied in image processing, panorama stitching, and image fusion with detailed algorithm implementation and feature extraction demonstrations.
Automated poker card recognition system using advanced image processing techniques with excellent performance results.
This is a saliency detection method for image processing applications, featuring an improved and simplified version of the ITTI display algorithm. The algorithm's clear structure makes it easy to understand and debug. It includes detailed documentation with step-by-step instructions for immediate execution. This implementation serves as an excellent introductory algorithm for students beginning their studies in saliency detection, providing straightforward code organization and practical examples for quick deployment.
Fundamental image processing operations: reading images, edge detection in grayscale images, boundary pixel extraction in binary images, blurring operations, frame processing, and image type conversions with code implementation examples.
A self-developed MATLAB image processing program focusing on BMP image operations and GUI programming, featuring various image manipulation functions with interactive user interface controls and real-time preview capabilities.
Source code implementation of Contourlet transform for image processing applications
This is the source code for my image processing assignment, which implements image curve data extraction and peak detection algorithms, including detailed curve processing and peak identification functionality.
MATLAB Image Processing: Implementing Huffman coding, wavelet transform, and edge detection using Sobel and Laplacian-Gaussian methods for grayscale images. Code demonstrations include image compression techniques and feature extraction algorithms.
This repository provides well-implemented MATLAB source code for DTCWT, featuring applications in image processing and multiscale representation with enhanced directional selectivity and shift-invariance properties.
A practical phase retrieval algorithm for image processing with implementation guidance and key function descriptions