Mathematical Morphology Dilation and Erosion Algorithm Implementation
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This is my custom MATLAB implementation of mathematical morphology dilation and erosion algorithms, specifically designed for processing both binary and grayscale images. The implementation utilizes structuring elements to perform fundamental morphological operations where dilation expands object boundaries while erosion contracts them. The algorithm employs neighborhood processing techniques, scanning each pixel and applying the structuring element to determine output values based on maximum (for dilation) or minimum (for erosion) pixel values within the neighborhood. This approach effectively handles various image processing tasks including noise removal, boundary detection, and feature enhancement. In computer vision applications, these operations prove particularly valuable for image segmentation, edge detection, and shape recognition tasks by modifying object structures while preserving essential shape characteristics.
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