Explore MATLAB source code curated for "图像处理" with clean implementations, documentation, and examples.
This implementation calculates and outputs Hu's seven invariant moments, which are fundamental for image feature extraction. The code includes computation of central moments and normalization processes to achieve scale, rotation, and translation invariance.
MATLAB Image Processing Toolbox contains extensive functions for image manipulation, serving as an essential handbook for image processing tasks with MATLAB. Includes implementation details for key algorithms and functions.
Bandelet Transform Image Processing Toolbox with comprehensive source code for image processing operations
This MATLAB program implements iterative image processing algorithms to identify regions of interest (ROIs) in images. The included M-files perform comprehensive ROI analysis, outputting region properties including area size, mean intensity, standard deviation, minimum/maximum values, median intensity, and centroid coordinates. The implementation utilizes morphological operations and statistical analysis for robust ROI detection.
The state-of-the-art SVM toolbox featuring advanced waveform and image processing functionalities with robust algorithm implementations
Application Background: Threads are widely used in industrial production, and real-time high-precision measurement is crucial for improving component quality. Traditional thread inspection primarily uses two methods: comprehensive testing and single-parameter measurement, both requiring manual operation with relatively low accuracy, time-consuming processes, low efficiency, and potential thread damage. Key Technology: This research develops a non-contact thread parameter measurement system using area-array CCD imaging combined with optical measurement and computer image processing technologies. The MATLAB-based detection program implements functions including image data acquisition, 2D image reconstruction, edge feature extraction, and boundary fitting. The system efficiently measures multiple thread parameters through algorithmic processing of captured images.
A comprehensive standard image library containing internationally recognized benchmark images for image processing applications, providing reference implementations for various algorithms.
Implementation of compressed sensing for image processing through L1-minimum norm optimization techniques
Auto-focus technology leverages image processing algorithms and MATLAB hybrid programming to automatically adjust camera or microscope focus for sharper image capture, with applications spanning medical imaging, industrial inspection, and aerial photography.
Building Video and Image Processing Systems with MATLAB and Simulink: Video Reading and Background Extraction Techniques