Commonly Used Morphological Image Processing Code in MATLAB
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Common morphological image processing operations include dilation, erosion, opening, and closing. In image processing, dilation expands object boundaries using operations like imdilate() with structuring elements, while erosion shrinks boundaries using imerode(). Opening operation performs erosion followed by dilation (imopen()), effectively removing small noise particles. Closing operation executes dilation first then erosion (imclose()), useful for filling small holes within objects. Beyond these basic morphological operations, more advanced techniques like hit-or-miss transformation (bwhitmiss()) and top-hat transformation (imtophat()) are available for specialized applications. These operations typically utilize structuring elements created with strel() function, and their implementation involves selecting appropriate element shapes and sizes based on specific processing requirements.
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