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

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: 220g
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: Forthcoming

1. Introduction 2. Thresholding Approaches 3. Grayscale and RGB-scale Image Examination 4. Heuristic Algorithm Assisted Thresholding 5. Objective Function and Image Quality Measures 6. Assessment of Images with Constraints 7. Thresholding of Benchmark Images 8. Thresholding of Biomedical Images 9. Thresholding of Plant-Weed images 10. Conclusion