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ICSES Transactions on Image Processing and Pattern Recognition
Dec. 2018


© 2018
Image Segmentation: A Guide to Image Mining

doi: 10.31424/icses.itippr.2018.v4.n4

Book Title
1.3k
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a PRMCEAM, Amravati, India
b Sama College, IAU, Shoushtar Branch, Shoushtar, Iran

 

Highlights
1- First of all, this book will prove as a center of knowledge for recent image segmentation and image mining techniques and their advancement and contribution in the field of Image Processing.

2- Secondly, few methods are provided with their in-depth working and simulations. Rigorous analysis is done on them and each and every happening is thoroughly explained.

3- Thirdly, an exhaustive literature review is done and detailed knowledge of various important and noteworthy contributions in the image processing field is mentioned.

4- This book is intended to give basic and detailed knowledge of image segmentation techniques to those who are willing to understand, study and contribute in digital image processing field.

 

About this book
Today, the medical industry, astronomy, physics, chemistry, forensics, remote sensing, manufacturing, and defense are just some of the many fields that rely upon images to store, display, and provide information about the world around us. The challenge to scientists, engineers and business people is to quickly extract valuable information from raw image data. This is the primary purpose of image processing - converting images to information. The main aim of image segmentation is to identify meaningful objects from a given image. For example, a boy of just four years can see/detect/locate a pen on a table, as he is naturally equipped with image segmentation power. However, robots cannot do it, until they use image segmentation algorithms. To perform an image segmentation task, several techniques have been developed. The simplest and flexible techniques are discussed in this book from basics. This book explains how to segment images using state-of-the-art methods and recent innovations incorporating Deep Learning. Also, image segmentation is usually the first step towards various image processing applications like medical imaging, object detection, machine vision, recognition, image mining, image restoration, image enhancement, etc. and thus, is a critical topic to study. In this book, each chapter introduces image segmentation topics and includes information regarding when one method may be preferred over another to obtain specific image features. Numerous step-by-step examples illustrate the processing and analysis routines, allowing you to quickly understand how to get the desired results when working with your own image data. This book is not intended to be a complete source for image processing knowledge, an advanced image processing manual or an image processing reference guide. This book is designed to teach people how to segment images effectively and does not assume that they are already experts in the field of image processing.
US NLM This book will be indexed in the United States National Library of Medicine (NLM), a branch of the National Institutes of Health (NIH), and the partner of PubMed, the worlds most accredited bibliographic database for the biomedical literature.
SCOPUS This book will be submitted to be indexed in the SCOPUS, the worlds most accredited bibliographic database.

 

Topics
 Deep Learning   Graph Theory   Image Mining   Image Analysis   Image Processing   Image Segmentation   Image Segmentation Applications   Image Segmentation Innovations   Medical Image Segmentation   Object Detection   Threshold   Wavelet Transform 

 

Table of Contents

 

Copyright
© Copyright was transferred to International Computer Science and Engineering Society (ICSES) by all the Authors. This book is published in Open-Access manner based on the copyright licence of Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0).

 

Cite this book as
Vikramsingh Parihar, Hamid Reza Boveiri, Image Segmentation: A Guide to Image Mining. ICSES Transactions on Image Processing and Pattern Recognition (ITIPPR), ICSES, pp. 1-102, 2018. DOI: 10.31424/icses.itippr.2018.v4.n4

 

Bibliographic Information
Book Title
Image Segmentation: A Guide to Image Mining
No. of Visites
1271
No. of Downloads
80
Editors
Vikramsingh Parihar
Hamid Reza Boveiri
Edition
1
Copyright
2018
ISBN
978-622-00-1091-3
Short ISBN
6220010914
DOI
10.31424/icses.itippr.2018.v4.n4
Series Title
ITIPPR
Series ISSN
2645-8071
Pages
102
Publisher
ICSES
No. of Chapters
6
Short Title
ImgSeg18

 

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Bibliography

ICSES Book ID: 59
No. of Chapters: 6
Pages: 1-102
Proposed: 2018-06-26
Published: 2018-12-30
ISBN: 978-622-00-1091-3
Short ISBN: 6220010914
DOI: 10.31424/icses.itippr.2018.v4.n4
Series Title: ITIPPR
Series ISSN: 2645-8071
Publisher: ICSES


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Serie's Title
ITIPPR Cover Page

Journal

ICSES Transactions on Image Processing and Pattern Recognition
ISSN: 2645-8071

ISSN: 2645-8071
Frequency: Quarterly
Accessability: Online - Open Access (till 2020)
Founded in: Mar. 2015
Publisher: ICSES
DOI Suffix: 10.31424/icses.itippr
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