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A Beginner’s Guide to Multilevel Image Thresholding
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.
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.
104 pages, Kindle Edition
Published November 19, 2020
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