An ICA based method for texture recognition
The method proposed in this paper uses the Independent Component Analysis (ICA) for an application of unsupervised recognition of textures. The analysed texture is modelled by a weighted sum of almost statistically independent random signals that are extracted with FastICA algorithm. Each resulting...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universitatea Dunarea de Jos
2006-12-01
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| Series: | Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică |
| Subjects: | |
| Online Access: | http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-04-Coltuc.pdf |
| _version_ | 1819026060299206656 |
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| author | Thierry FOURNEL Jean-Marie BECKER Daniela COLTUC Yann BOUTANT |
| author_facet | Thierry FOURNEL Jean-Marie BECKER Daniela COLTUC Yann BOUTANT |
| author_sort | Thierry FOURNEL |
| collection | DOAJ |
| description | The method proposed in this paper uses the Independent Component Analysis (ICA) for an application of unsupervised recognition of textures. The analysed texture is modelled by a weighted sum of almost statistically independent random signals that are extracted with FastICA algorithm. Each resulting signal is described by its negentropy, more precisely, by one of the approximations used by FastICA algorithm. The approximated negentropies are sorted into descending order and represented by a curve. The final step of the algorithm is the averaging of a certain number of such curves obtained from different zones of the texture. The resulting mean ”negentropy curve” displays a good discriminating power on the tested textures. |
| first_indexed | 2024-12-21T05:20:34Z |
| format | Article |
| id | doaj.art-9b7f9d30f4524ba581d6b38dfe3873d6 |
| institution | Directory Open Access Journal |
| issn | 1221-454X |
| language | English |
| last_indexed | 2024-12-21T05:20:34Z |
| publishDate | 2006-12-01 |
| publisher | Universitatea Dunarea de Jos |
| record_format | Article |
| series | Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică |
| spelling | doaj.art-9b7f9d30f4524ba581d6b38dfe3873d62022-12-21T19:14:49ZengUniversitatea Dunarea de JosAnalele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică1221-454X2006-12-01200612428An ICA based method for texture recognitionThierry FOURNELJean-Marie BECKERDaniela COLTUCYann BOUTANTThe method proposed in this paper uses the Independent Component Analysis (ICA) for an application of unsupervised recognition of textures. The analysed texture is modelled by a weighted sum of almost statistically independent random signals that are extracted with FastICA algorithm. Each resulting signal is described by its negentropy, more precisely, by one of the approximations used by FastICA algorithm. The approximated negentropies are sorted into descending order and represented by a curve. The final step of the algorithm is the averaging of a certain number of such curves obtained from different zones of the texture. The resulting mean ”negentropy curve” displays a good discriminating power on the tested textures.http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-04-Coltuc.pdfIndependent Component AnalysisNegentropyPattern RecognitionTexture |
| spellingShingle | Thierry FOURNEL Jean-Marie BECKER Daniela COLTUC Yann BOUTANT An ICA based method for texture recognition Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică Independent Component Analysis Negentropy Pattern Recognition Texture |
| title | An ICA based method for texture recognition |
| title_full | An ICA based method for texture recognition |
| title_fullStr | An ICA based method for texture recognition |
| title_full_unstemmed | An ICA based method for texture recognition |
| title_short | An ICA based method for texture recognition |
| title_sort | ica based method for texture recognition |
| topic | Independent Component Analysis Negentropy Pattern Recognition Texture |
| url | http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-04-Coltuc.pdf |
| work_keys_str_mv | AT thierryfournel anicabasedmethodfortexturerecognition AT jeanmariebecker anicabasedmethodfortexturerecognition AT danielacoltuc anicabasedmethodfortexturerecognition AT yannboutant anicabasedmethodfortexturerecognition AT thierryfournel icabasedmethodfortexturerecognition AT jeanmariebecker icabasedmethodfortexturerecognition AT danielacoltuc icabasedmethodfortexturerecognition AT yannboutant icabasedmethodfortexturerecognition |