Image Partitioning Methods in Spatial and Frequency Domain

Image Partitioning Methods in Spatial and Frequency Domain

For partitioning the image, in spatial domain, contiguous neighbourhood pixels withsimilar properties are grouped together to make a region. These regions form processing blocks for the images during local enhancement. Additionally, many researchers, on the same pattern, divided the image histogram...

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Main Authors: M. Mahmood, Ahmed, Jasni, Mohamad Zain, M. Masroor, Ahmed
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
QA Mathematics
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/3626/
http://umpir.ump.edu.my/id/eprint/3626/1/30-ICoCSIM.pdf
id ump-3626
recordtype eprints
spelling ump-36262018-05-21T06:45:17Z http://umpir.ump.edu.my/id/eprint/3626/ Image Partitioning Methods in Spatial and Frequency Domain M. Mahmood, Ahmed Jasni, Mohamad Zain M. Masroor, Ahmed QA Mathematics TA Engineering (General). Civil engineering (General) For partitioning the image, in spatial domain, contiguous neighbourhood pixels withsimilar properties are grouped together to make a region. These regions form processing blocks for the images during local enhancement. Additionally, many researchers, on the same pattern, divided the image histogram into many blocks. To split a candidate image or its histogram into regions, various methods are evolved by researchers. The paper reviews these existing partitioning methods and briefly illustrates the related contrast enhancement techniques. From this point onwards section one introduces the subject, section two, reviews existing partitioning techniques and section three presents conclusion by summarizing the paper. 2012-12-03 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3626/1/30-ICoCSIM.pdf M. Mahmood, Ahmed and Jasni, Mohamad Zain and M. Masroor, Ahmed (2012) Image Partitioning Methods in Spatial and Frequency Domain. In: International Conference on Computational Science and Information Management (ICoCSIM), 3-5 December 2012 , Toba Lake, North Sumatera, Indonesia. pp. 152-157..
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic QA Mathematics
TA Engineering (General). Civil engineering (General)
spellingShingle QA Mathematics
TA Engineering (General). Civil engineering (General)
M. Mahmood, Ahmed
Jasni, Mohamad Zain
M. Masroor, Ahmed
Image Partitioning Methods in Spatial and Frequency Domain
description For partitioning the image, in spatial domain, contiguous neighbourhood pixels withsimilar properties are grouped together to make a region. These regions form processing blocks for the images during local enhancement. Additionally, many researchers, on the same pattern, divided the image histogram into many blocks. To split a candidate image or its histogram into regions, various methods are evolved by researchers. The paper reviews these existing partitioning methods and briefly illustrates the related contrast enhancement techniques. From this point onwards section one introduces the subject, section two, reviews existing partitioning techniques and section three presents conclusion by summarizing the paper.
format Conference or Workshop Item
author M. Mahmood, Ahmed
Jasni, Mohamad Zain
M. Masroor, Ahmed
author_facet M. Mahmood, Ahmed
Jasni, Mohamad Zain
M. Masroor, Ahmed
author_sort M. Mahmood, Ahmed
title Image Partitioning Methods in Spatial and Frequency Domain
title_short Image Partitioning Methods in Spatial and Frequency Domain
title_full Image Partitioning Methods in Spatial and Frequency Domain
title_fullStr Image Partitioning Methods in Spatial and Frequency Domain
title_full_unstemmed Image Partitioning Methods in Spatial and Frequency Domain
title_sort image partitioning methods in spatial and frequency domain
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/3626/
http://umpir.ump.edu.my/id/eprint/3626/1/30-ICoCSIM.pdf
first_indexed 2023-09-18T21:58:02Z
last_indexed 2023-09-18T21:58:02Z
_version_ 1777414210881323008

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