A Beginner’s Guide to Multilevel Image Thresholding

This book emphasizes various image thresholding methods that are necessary for image pre-processing and initial level enhancement. It presents a detailed evaluation, such as choosing the threshold function, need for the heuristic algorithm, choice of objective function, and evaluation of the outcome along with real-time applications in detail.

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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.






Explains basic concepts and the implementation of Image Multi-Level Thresholding (grayscale and RGB images)



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



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



Illustrates integration of the thresholding technique with bio-inspired algorithms



Includes current findings and future directions of image multi-level thresholding and its practical implementation



Emphasizes the need for multi-level thresholding with suitable examples

The book is aimed at graduate students and researchers in image processing, electronics engineering, computer sciences and engineering.