Erosion and Dilation Operations on an Image

In this example, we performed erosion and dilation operations on an image using MATLAB. These morphological operations can modify image shapes and details to enhance clarity or introduce controlled blurring. The experiment yielded highly satisfactory results with excellent processing outcomes. Erosion and dilation are fundamental techniques in image processing, commonly applied in edge detection and morphological operations. Using MATLAB's imerode() and imdilate() functions with structuring elements (typically created via strel()), we successfully altered the image's structural characteristics. The implementation demonstrates how erosion shrinks image boundaries while dilation expands them, enabling more advanced image processing tasks. This example showcases MATLAB's powerful capabilities and broad applicability in image processing workflows, particularly through its comprehensive Image Processing Toolbox functions that support various structuring element shapes and sizes for optimal morphological transformations.