A Beginner’s Guide to Multilevel Image Thresholding

<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><p><li>Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images)</li><p></p><p><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><p></p><p><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><p></p><p><li>Illustrates integration of the thresholding technique with bio-inspired algorithms</li><p></p><p><li>Includes current findings and future directions of image multi-level thresholding and its practical implementation</li><p></p><p><li>Emphasizes the need for multi-level thresholding with suitable examples</li><p></p></p></p></p></p></p></p></ul><p> </p><p>The book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.</p><p></p>