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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| Format: | Conference or Workshop Item |
| Language: | en |
| Published: |
2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/3626/1/30-ICoCSIM.pdf http://umpir.ump.edu.my/id/eprint/3626/ |
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| _version_ | 1831521430918922240 |
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| 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 |
| building | UMPSA Library |
| collection | Institutional Repository |
| content_provider | Universiti Malaysia Pahang Al-Sultan Abdullah |
| content_source | UMPSA Institutional Repository |
| continent | Asia |
| country | Malaysia |
| 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 |
| id | my.ump.umpir.3626 |
| institution | Universiti Malaysia Pahang |
| language | en |
| publishDate | 2012 |
| record_format | eprints |
| spelling | my.ump.umpir.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.. (Published) |
| 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 |
| title | Image Partitioning Methods in Spatial and Frequency Domain
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| title_full | Image Partitioning Methods in Spatial and Frequency Domain
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| title_fullStr | Image Partitioning Methods in Spatial and Frequency Domain
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| title_full_unstemmed | Image Partitioning Methods in Spatial and Frequency Domain
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| title_short | Image Partitioning Methods in Spatial and Frequency Domain
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| title_sort | image partitioning methods in spatial and frequency domain |
| topic | QA Mathematics TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/3626/1/30-ICoCSIM.pdf http://umpir.ump.edu.my/id/eprint/3626/ |
| url_provider | http://umpir.ump.edu.my/ |