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...
Published in: | Advanced Science Letters |
---|---|
Main Author: | |
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 |
accesstype |
|
record_format |
scopus |
collection |
Scopus |
_version_ |
1809678488754454528 |