A Beginner’s Guide to Multilevel Image Thresholding

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Venkatesan Rajinikanth (St. Joseph’s College of Engineering, Chennai) Nadaradjane Sri Madhava Raja (St. Joseph’s College of Engineering, Chennai)

A Beginner’s Guide to Multilevel Image Thresholding

Venkatesan Rajinikanth (St. Joseph’s College of Engineering, Chennai), Nadaradjane Sri Madhava Raja (St. Joseph’s College of Engineering, Chennai), Nilanjan Dey (JIS University, Kolkata)

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English

CRC Press
07 October 2024

Electrical engineering; Electronics engineering; Imaging systems & technology; Graphical & digital media applications; Computer science

Series: Intelligent Signal Processing and Data Analysis

Summary
Details

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.

By: Venkatesan Rajinikanth (St. Joseph’s College of Engineering Chennai), Nadaradjane Sri Madhava Raja (St. Joseph’s College of Engineering, Chennai), Nilanjan Dey (JIS University, Kolkata)
Imprint: CRC Press
Country of Publication: United Kingdom
Dimensions: Height: 234mm, Width: 156mm,
Weight: 217g
ISBN: 9780367503178
ISBN 10: 0367503174
Series: Intelligent Signal Processing and Data Analysis
Pages: 104
Publication Date: 07 October 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active