Author Description

<p>A Beginner's Guide to Image Multi-Level Thresholding emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement.</p> <p></p> <ul> <li>Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images)</li> <li>Presents a detailed evaluation in real-time application, including the need for heuristic algorithm, the choice of objective and threshold function, and the evaluation of the outcome</li> <li>Describes how the image thresholding acts as a pre-processing technique and how the region of interest in a medical image is enhanced with thresholding</li> <li>Illustrates integration of the thresholding technique with bio-inspired algorithms</li> <li>Includes current findings and future directions of image multi-level thresholding and its practical implementation</li> <li>Emphasizes the need for multi-level thresholding with suitable examples</li> </ul> <p></p> <p>The book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.</p>