MATLAB Implementation of Morphological Filtering

In image processing, a commonly used approach involves applying morphological filtering, dilation, and closing operations to eliminate noise and fill holes in images. Morphological filtering is an image processing technique based on structuring elements that alters image shape and size through erosion and dilation operations. The dilation operation expands image regions, while closing (a combination of dilation followed by erosion) effectively fills small holes and connects broken contours. By adjusting the shape and size of structuring elements using functions like strel() in MATLAB, different dimensions and shapes of noise can be effectively removed. Key MATLAB functions include imdilate() for dilation and imclose() for closing operations, where developers can specify structuring element parameters to optimize noise removal. Through comprehensive application of these methods with proper parameter tuning, we can achieve clearer and more accurate image results with reduced artifacts. Implementation typically involves preprocessing with morphological operations followed by post-processing validation to ensure image quality improvement.