Wavelet Analysis: Comparison of Approximation and Details For Mammogram Classification
Image features extraction is an important step in image processing techniques. The features of digital images can be extracted directly from the spatial data or from a different space. Using a different space by special data transforms such wavelet can be helpful to extract specific characteris...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/2715/ http://scholars.utp.edu.my/id/eprint/2715/1/Wavelet_Analysis_mtokhy_5-8-2009.pdf |
| _version_ | 1848659291400044544 |
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| author | Brahim Belhaouari, samir ibrahima, faye Mohamed M. , Eltoukhy |
| author_facet | Brahim Belhaouari, samir ibrahima, faye Mohamed M. , Eltoukhy |
| author_sort | Brahim Belhaouari, samir |
| building | UTP Institutional Repository |
| collection | Online Access |
| description | Image features extraction is an important step in image
processing techniques. The features of digital images can
be extracted directly from the spatial data or from a
different space. Using a different space by special data
transforms such wavelet can be helpful to extract specific
characteristics from a data. Wavelets prove an efficient
representation of image. It decomposes an image into
subbands, approximation, horizontal, vertical and
diagonal. This paper presents an attempt to find which
subband that could be better to used for mammogram
classification to detect and diagnose the breast cancer. |
| first_indexed | 2025-11-13T07:28:05Z |
| format | Article |
| id | oai:scholars.utp.edu.my:2715 |
| institution | Universiti Teknologi Petronas |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-13T07:28:05Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | oai:scholars.utp.edu.my:27152017-01-19T08:25:38Z http://scholars.utp.edu.my/id/eprint/2715/ Wavelet Analysis: Comparison of Approximation and Details For Mammogram Classification Brahim Belhaouari, samir ibrahima, faye Mohamed M. , Eltoukhy TK Electrical engineering. Electronics Nuclear engineering Image features extraction is an important step in image processing techniques. The features of digital images can be extracted directly from the spatial data or from a different space. Using a different space by special data transforms such wavelet can be helpful to extract specific characteristics from a data. Wavelets prove an efficient representation of image. It decomposes an image into subbands, approximation, horizontal, vertical and diagonal. This paper presents an attempt to find which subband that could be better to used for mammogram classification to detect and diagnose the breast cancer. 2009 Article NonPeerReviewed application/pdf en http://scholars.utp.edu.my/id/eprint/2715/1/Wavelet_Analysis_mtokhy_5-8-2009.pdf Brahim Belhaouari, samir and ibrahima, faye and Mohamed M. , Eltoukhy (2009) Wavelet Analysis: Comparison of Approximation and Details For Mammogram Classification. Rovisp 2009. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Brahim Belhaouari, samir ibrahima, faye Mohamed M. , Eltoukhy Wavelet Analysis: Comparison of Approximation and Details For Mammogram Classification |
| title | Wavelet Analysis: Comparison of Approximation and Details
For Mammogram Classification |
| title_full | Wavelet Analysis: Comparison of Approximation and Details
For Mammogram Classification |
| title_fullStr | Wavelet Analysis: Comparison of Approximation and Details
For Mammogram Classification |
| title_full_unstemmed | Wavelet Analysis: Comparison of Approximation and Details
For Mammogram Classification |
| title_short | Wavelet Analysis: Comparison of Approximation and Details
For Mammogram Classification |
| title_sort | wavelet analysis: comparison of approximation and details
for mammogram classification |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://scholars.utp.edu.my/id/eprint/2715/ http://scholars.utp.edu.my/id/eprint/2715/1/Wavelet_Analysis_mtokhy_5-8-2009.pdf |