Techniques for Processing and Analyzing Grayscale Images Using Morphological Methods
Using rice.tif as a sample image, this guide demonstrates key techniques for processing and analyzing grayscale images through morphological operations. The workflow involves: removing uneven background illumination from the grayscale image, converting the processed image to binary using thresholding techniques, performing component labeling to identify object properties, and calculating statistical features of detected objects. Code implementations include background correction algorithms, Otsu's thresholding method, and connected component analysis for feature extraction.