Image segmentation of repetitive patterns: A review

Image segmentation is a challenging task in the area of image processing and has been researched for the last four decades. Until now, a tremendous number of segmentation algorithms can be found in many researches. A review of existing image segmentation techniques is vital for a researcher who woul...

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Bibliographic Details
Published in:Advanced Science Letters
Main Author: Kamel K.; Jamil N.; Narawi A.; Gobil A.R.
Format: Review
Language:English
Published: American Scientific Publishers 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919330305&doi=10.1166%2fasl.2014.5652&partnerID=40&md5=5c4eaa89d8a6e061a85777fd262f962c
id 2-s2.0-84919330305
spelling 2-s2.0-84919330305
Kamel K.; Jamil N.; Narawi A.; Gobil A.R.
Image segmentation of repetitive patterns: A review
2014
Advanced Science Letters
20
10-Dec
10.1166/asl.2014.5652
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919330305&doi=10.1166%2fasl.2014.5652&partnerID=40&md5=5c4eaa89d8a6e061a85777fd262f962c
Image segmentation is a challenging task in the area of image processing and has been researched for the last four decades. Until now, a tremendous number of segmentation algorithms can be found in many researches. A review of existing image segmentation techniques is vital for a researcher who would want to embark on this exciting research area. Generally, there are many reviews conducted on image segmentation but a special attention needs to be focused on segmentation of images with repetitive patterns. Segmentation of repetitive patterns involves grouping the repeated patterns in a meaningful structure. This paper presents an exhaustive review of digital image segmentation for repetitive patterns. In addition, a general process flow of segmenting images of repetitive patterns is proposed. This review will be useful in the development and improvement of new techniques in the future. © 2014 American Scientific Publishers All rights reserved.
American Scientific Publishers
19366612
English
Review

author Kamel K.; Jamil N.; Narawi A.; Gobil A.R.
spellingShingle Kamel K.; Jamil N.; Narawi A.; Gobil A.R.
Image segmentation of repetitive patterns: A review
author_facet Kamel K.; Jamil N.; Narawi A.; Gobil A.R.
author_sort Kamel K.; Jamil N.; Narawi A.; Gobil A.R.
title Image segmentation of repetitive patterns: A review
title_short Image segmentation of repetitive patterns: A review
title_full Image segmentation of repetitive patterns: A review
title_fullStr Image segmentation of repetitive patterns: A review
title_full_unstemmed Image segmentation of repetitive patterns: A review
title_sort Image segmentation of repetitive patterns: A review
publishDate 2014
container_title Advanced Science Letters
container_volume 20
container_issue 10-Dec
doi_str_mv 10.1166/asl.2014.5652
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84919330305&doi=10.1166%2fasl.2014.5652&partnerID=40&md5=5c4eaa89d8a6e061a85777fd262f962c
description Image segmentation is a challenging task in the area of image processing and has been researched for the last four decades. Until now, a tremendous number of segmentation algorithms can be found in many researches. A review of existing image segmentation techniques is vital for a researcher who would want to embark on this exciting research area. Generally, there are many reviews conducted on image segmentation but a special attention needs to be focused on segmentation of images with repetitive patterns. Segmentation of repetitive patterns involves grouping the repeated patterns in a meaningful structure. This paper presents an exhaustive review of digital image segmentation for repetitive patterns. In addition, a general process flow of segmenting images of repetitive patterns is proposed. This review will be useful in the development and improvement of new techniques in the future. © 2014 American Scientific Publishers All rights reserved.
publisher American Scientific Publishers
issn 19366612
language English
format Review
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record_format scopus
collection Scopus
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