Explore MATLAB source code curated for "腐蚀" 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
Implementation of fundamental digital image processing algorithms in MATLAB including image binarization, dilation, erosion, opening and closing operations, and thinning processing using advanced programming techniques.
Image preprocessing procedures including edge denoising, binarization, and erosion operations, designed as foundational steps for license plate localization
This implementation removes image backgrounds through erosion and contour elimination operations, serving as an ideal MATLAB introduction for beginners to understand practical image processing workflows.
Custom MATLAB implementation of mathematical morphology dilation and erosion algorithms for binary and grayscale image processing
Implementation of image erosion and dilation processing using MATLAB. The processing achieved satisfactory results through morphological operations structuring elements, demonstrating clear enhancement of image structures.
Implementation of morphological edge detection on grayscale images through dilation and erosion operations with code-focused methodology
Source code implementation of an adaptive generalized morphological filter featuring erosion, dilation, opening/closing operations, and SNR calculation with detailed algorithmic explanations
This program provides a detailed explanation of RGB to grayscale conversion principles and processes, along with comprehensive coverage of erosion and dilation operations including their underlying theories and implementation code.
A fingerprint recognition program implemented in MATLAB that performs Gabor filtering, binarization, erosion and other preprocessing operations on fingerprint images, utilizing SVM algorithms to determine whether new fingerprint images exist in the original database. Suitable for demonstrating small-scale fingerprint identification systems with detailed implementation approaches for image processing and machine learning components.