A beginner's guide to multilevel image thresholding / Venkatesan Rajinikanth, Nadaradjane Sri Madhava Raja, Nilanjan Dey.

Format:

Book

Author/Creator:

Rajinikanth, Venkatesan, author.

Raja, Nadaradjane Sri Madhava, author.

Dey, Nilanjan, 1984- author.

Series:

CRC focus series.

Intelligent signal processing and data analysis.

CRC focus series

Intelligent signal processing and data analysis

Language:

English

Subjects (All):

Image segmentation.

Threshold logic.

Imaging systems in medicine.

Physical Description:

1 online resource : illustrations, portraits (chiefly color)

Edition:

First edition

Place of Publication:

Boca Raton, FL : CRC Press, 2021.

Summary:

"Choosing appropriate thresholding based on the existing image (Grayscale/RGB) and the assigned task is essential to attain better result and the complexity of the image thresholding is largely reduced with the help of a chosen heuristic algorithm technique. 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"-- Provided by publisher.

Contents:

Cover

Half Title

Series Page

Title Page

Copyright Page

Contents

Preface

Acknowledgements

Author Biographies

Chapter 1: Introduction

1.1. Introduction to Image Enhancement

1.2. Importance of Image Enhancement

1.3. Introduction to Enhancement Techniques

1.3.1. Artifact Removal

1.3.2. Filtering

1.3.3. Contrast Enrichment

1.3.4. Edge Detection

1.3.5. Thresholding

1.3.6. Smoothening

1.4. Recent Advancements

1.5. Need for Multilevel Thresholding

1.6. Implementation and Evaluation of Thresholding Process

1.7. Summary

References

Chapter 2: Thresholding Approaches

2.1. Need for Image Thresholding

2.2. Bilevel and Multilevel Threshold

2.3. Common Thresholding Methods

2.3.1. Otsu's Approach

2.3.2. Tsallis Approach

2.3.3. Fuzzy-tsallis entropy Approach

2.3.4. Shannon's Approach

2.3.5. Kapur's Approach

2.4. Selection of Thresholding Method

2.5. Implementation Issues

2.6. Summary

Chapter 3: Grayscale and RGB-Scale Image Examination

3.1. Image Selection

3.2. Grayscale and RGB-Scale Image

3.3. Complexity due to Image Dimension

3.4. Complexity due to Pixel Distribution

3.5. Implementation Steps

3.6. Summary

Chapter 4: Heuristic-Algorithm-Assisted Thresholding

4.1. Thresholding Methods

4.2. Limitations in Traditional Thresholding

4.3. Need for Heuristic Algorithm

4.4. Selection of Heuristic Algorithm

4.4.1. Particle Swarm Optimization

4.4.2. Bacterial Foraging Optimization

4.4.3. Firefly Algorithm

4.4.4. Bat Algorithm

4.4.5. Cuckoo Search

4.4.6. Social Group Optimization

4.5. Implementation Steps

4.6. Summary

Chapter 5: Objective Function and Image Quality Measures

5.1. Introduction to Implementation

5.2. Monitoring Parameter.

5.2.1. Objective Function

5.2.2. Single and Multiple Objective Function

5.3. Assessment of Thresholding Process

5.4. Summary

Chapter 6: Assessment of Images with Constraints

6.1. Selection of Test Images

6.2. Abnormalities in Test Images

6.3. Test Image Stained with Noise

6.3.1. Gaussian Noise

6.3.2. Local variance Noise

6.3.3. Poisson Noise

6.3.4. Salt &amp

pepper Noise

6.3.5. Speckle Noise

6.4. Impact of Noise in Thresholding Outcome

6.5. Summary

Chapter 7: Thresholding of Benchmark Images

7.1. Selection of Test Image

7.3. Selection of Objective Function

7.4. Assessment of Outcome and Comparison

7.5. Summary

Chapter 8: Thresholding of Biomedical Images

8.1. Need of Thresholding for Medical Images

8.2. Thresholding for MRI

8.3. Thresholding for Ultrasound Image

8.4. Thresholding for RGB-Scale Medical Images

8.5. Thresholding of Lung CT Scan Slice Infected With Covid-19

8.6. Summary

Index.

Notes:

Includes bibliographical references and index.

Description based on print version record.

ISBN:

1-00-304944-3

1-000-22833-9

1-003-04944-3

1-000-22845-2

9781003049449

OCLC:

1161997043