MATLAB Code Implementation for Image Processing and Contour Extraction
MATLAB Image Processing with Contour Extraction Implementation using Edge Detection Algorithms and Boundary Tracing Techniques
Explore MATLAB source code curated for "图像处理" with clean implementations, documentation, and examples.
MATLAB Image Processing with Contour Extraction Implementation using Edge Detection Algorithms and Boundary Tracing Techniques
Designed for image processing, face recognition, and computer vision tasks with practical code implementation examples
A MATLAB simulation program for road recognition primarily based on road color image processing, incorporating multiple computer vision algorithms for enhanced detection accuracy.
This MATLAB-based source code implements Hough transform for detecting straight lines of specific lengths in images, extracting them from the original image, and calculating their slopes. The implementation includes key functions for line parameter analysis and length thresholding.
Implementing Census Transform for image processing in MATLAB with code examples and algorithmic explanations
MATLAB-based image processing edge detection program featuring multiple classic algorithms including Sobel, Canny, and Prewitt operators with configurable parameters.
Implementation of snake algorithm for image processing, including practical examples and code-related explanations of key functions and edge detection techniques.
The provided files contain multiple MATLAB programs for image processing, including implementations for image segmentation and edge detection algorithms. These scripts demonstrate practical approaches to common computer vision tasks.
MATLAB graphics and image processing routines with practical examples using MATLAB graphical functions and plotting implementations.
Implementation of traffic signal light recognition and detection system using computer vision techniques, providing beginners with practical image processing learning direction through feature extraction and classification algorithms.