Explore MATLAB source code curated for "数学形态学" with clean implementations, documentation, and examples.
Custom MATLAB implementation of 1D signal mathematical morphology operations including erosion, dilation, opening, and closing, designed for filtering sharp impulse signals and suitable for vibration signal preprocessing with structural element configuration
An improved mathematical morphology-based small target detection method for infrared imagery, delivering higher detection accuracy than conventional Top-Hat transformation approaches through optimized structuring elements and multi-scale analysis.
This approach utilizes mathematical morphology to construct morphological filters for image filtering, achieving satisfactory processing results through operations like erosion, dilation, and opening/closing transformations.
Image denoising implementation in MATLAB using mathematical morphology with enhanced structural element selection. Unlike traditional single-structure-element approaches that yield suboptimal results, this method utilizes multiple structuring elements (disk, square, line) through dilation and erosion operations. The implementation effectively handles Gaussian, salt-and-pepper, and Wiener noise types while maintaining algorithmic simplicity through morphological opening/closing operations with imopen() and imclose() functions.
Mathematical morphology applied to ECG rhythm detection in technical analysis, demonstrating excellent performance with practical algorithm implementations
Custom MATLAB implementation of mathematical morphology dilation and erosion algorithms for binary and grayscale image processing
Implementation of adaptive image denoising through mathematical morphology operations, providing noise removal while preserving image details. This approach utilizes structuring elements and morphological filters to achieve intelligent denoising.
Implementation of ECG filtering algorithm based on mathematical morphology techniques - completely original code not relying on MATLAB's built-in functions.
A comprehensive mathematical morphology toolbox developed internationally, containing implementations of nearly all commonly used algorithms including morphological opening, closing, reconstruction, and other essential operations
An image granularity analysis algorithm based on mathematical morphology, implementing preprocessing through noise removal, calculating particle areas, and plotting granular distribution functions with morphological operations.