Multilevel Thresholding

Multilevel Thresholding is an image processing technique used to segment an image into different regions based on pixel intensity levels. It involves selecting multiple threshold values to divide the image’s shades of gray (or color intensities) into distinct categories, such as background, objects, or areas of interest. This method helps in analyzing and extracting specific parts of an image by simplifying its details into manageable segments. It’s particularly useful in applications like medical imaging, remote sensing, and object recognition, enabling better interpretation and analysis of complex images through multiple levels of distinction.