KPCA-Based Fault Diagnosis Program
A straightforward fault diagnosis program utilizing KPCA with comprehensive annotations for ease of use
Explore MATLAB source code curated for "标注" with clean implementations, documentation, and examples.
A straightforward fault diagnosis program utilizing KPCA with comprehensive annotations for ease of use
Curvelet denoising is directly applied to real seismic data with excellent results, featuring detailed annotations of processing procedures and parameters.
MATLAB provides the capability to place image labels below figures using specific commands, while the title command can only position text above images. The implementation involves using xlabel and ylabel functions for axis labeling below the plot area.
This program reads an input image and extracts SIFT features, visualizing the feature points on the original image. It also performs feature matching and registration between two images using keypoint detection and descriptor comparison algorithms.
MATLAB implementation for image warping using control points - users mark initial control points on an image, press Enter, then specify target positions for these points, causing the entire image to deform accordingly
Implementation of face detection and annotation in images using MATLAB, featuring computer vision techniques and image processing algorithms.
A complete video tracking algorithm implementation featuring extensive code annotations that provide significant assistance in understanding the entire program workflow and technical approach.