MATLAB Code Implementation for Image Filtering

In this MATLAB implementation, we enhance image quality through filtering and top-hat transformation while calculating the image's center position. To facilitate understanding, I will provide detailed explanations of each processing step. The implementation begins with filtering techniques to smooth the image and reduce noise using functions like imfilter() or medfilt2() for median filtering. Subsequently, we apply top-hat transformation using imtophat() to highlight brightness variations by subtracting the opened image from the original. The morphological opening operation typically employs structuring elements created via strel() function. Finally, we calculate the image center coordinates using regionprops() for centroid detection or simple spatial moment calculations. With provided sample images, users can directly execute these procedures to experience the image enhancements firsthand. The code demonstrates practical image processing workflows including: Gaussian filtering for noise reduction, morphological operations for feature extraction, and centroid calculation for structural analysis. These modifications aim to improve comprehension and application of fundamental image processing techniques in MATLAB.