A Beginner’s Guide to Multilevel Image Thresholding

By Venkatesan Rajinikanth, Nadaradjane Sri Madhava Raja & Nilanjan Dey

Release : 2020-11-19

Genre : Software, Books, Computers & Internet, Professional & Technical, Engineering, Computers, Electrical Engineering, Programming

Kind : ebook

(0 ratings)
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.

A Beginner’s Guide to Multilevel Image Thresholding

By Venkatesan Rajinikanth, Nadaradjane Sri Madhava Raja & Nilanjan Dey

Release : 2020-11-19

Genre : Software, Books, Computers & Internet, Professional & Technical, Engineering, Computers, Electrical Engineering, Programming

Kind : ebook

(0 ratings)
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.

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