Explore MATLAB source code curated for "数学形态学" with clean implementations, documentation, and examples.
MATLAB M-file for defect identification, implementing median filtering and wavelet denoising for defect images, using mathematical morphology methods to extract binary image contours, and calculating area and perimeter measurements for cracks and other defects
Speech enhancement algorithms including spectral subtraction, wavelet transform, and mathematical morphology methods, with comparative analysis of signal-to-noise ratio (SNR), spectrogram performance, and denoising effectiveness, discussing algorithm selection and parameter optimization strategies
Two distinct methodologies leveraging mathematical morphology for detecting and identifying targets against cloud backgrounds, incorporating algorithmic implementations and practical code considerations.
Mathematical morphology effectively removes noise from signals while preserving signal disturbance characteristics through morphological filtering operations
1. Master fundamental threshold-based image segmentation methodologies and implementation approaches 2. Acquire MATLAB GUI interface programming techniques using App Designer or GUIDE frameworks 3. Understand binary image operations in mathematical morphology: erosion, dilation, opening, and closing with algorithmic implementations
Motion-Based Human Detection with Background Modeling and Morphological Processing
MATLAB Implementation of Mathematical Morphological Operations with Code Examples