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ICSES Transactions on Image Processing and Pattern Recognition
Vol. 4, No. 4, Dec. 2018

A Survey and Comparative Analysis on Image Segmentation Techniques

Book Chapter of Image Segmentation: A Guide to Image Mining
a PRMCEAM, Amravati, India
b Sama College, IAU, Shoushtar Branch, Shoushtar, Iran


Highlights and Novelties
1- Existing literature is summarized based on the content of the relevant research papers.

2- Gist of the studied research papers is presented in five categories, namely, graph based work; thresholding based work; clustering based work; edge based work; then contours, and wavelets based work.

3- In particular, this chapter provide the directions to solve the image segmentation problems through the graph theory based suggested approach.

4- Presented work is very useful to the beginners in the domain of image processing, particularly who want to work in the image segmentation domain.


Manuscript Abstract
Image segmentation is the very first step in almost all the image processing applications where the properties of objects in images are need to be analyzed. By objects, we mean information of the image like color, texture, shape, edges, boundaries and structure. Various different algorithms have been employed to extract this information from the images. This paper provides a systematic review of image segmentation approaches. Our survey focuses on five key aspects: concept used by the authors, the performance evaluation parameter used by them, the database used, claims by those authors and our findings. Also, the whole analysis is presented by categorizing the different segmentation approaches in five parts; graph based methods, thresholding based methods, clustering methods, edge based approached and contours/wavelet based methods. The whole idea of the work is to provide a systematic and comparative analysis of the various approaches. Also, relevant databases and the list of performance parameters is also provided.


 Clustering Techniques   Edge-based Segmentation   Graph Theory   Image Processing   Image Segmentation   Preprocessing   Thresholding 


Copyright and Licence
Copyright © International Computer Science and Engineering Society (ICSES). This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution Non Commercial 4.0 International (CC BY-NC 4.0) license, supported by creativecommons.orgcall_made


Cite this manuscript as
Vikramsingh Parihar, Hamid Reza Boveiri, "A Survey and Comparative Analysis on Image Segmentation Techniques," in Image Segmentation: A Guide to Image Mining, 1st ed., ITIPPR: ICSES, 2018, pp. 1-15.


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Manuscript ID: 147
Pages: 1-15
Submitted: 2018-07-31
Revised: 2018-08-01
Accepted: 2018-12-30
Published: 2018-12-30

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Journal's Title
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ICSES Transactions on Image Processing and Pattern Recognition
ISSN: 2645-8071

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