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5 - Analyse spectrale locale de l'image par transformation de Wigner-Ville
| Content Provider | Semantic Scholar |
|---|---|
| Author | Peyrin Goutte Amiel |
| Copyright Year | 1992 |
| Abstract | Local spectrum analysis is an interesting method to extract pertinent features of an image . This paper proposes a new local spectrum analysis method allowing to accurately characterize the local spatial frequency content of an image. It is based on the use of the two-dimensional Wigner-Ville distribution (2D WVD), which permits to separately control spatial and frequential analysis resolutions. The application of this method to texture feature extraction and discrimination is illustrated, and a comparison with the classical 2D spectrogram method is also given. |
| Starting Page | 281 |
| Ending Page | 289 |
| Page Count | 9 |
| File Format | PDF HTM / HTML |
| Volume Number | 9 |
| Alternate Webpage(s) | http://documents.irevues.inist.fr/bitstream/handle/2042/1797/005.PDF%20TEXTE.pdf;jsessionid=D829C9A7419A3EEED7D99B40083455B0?sequence=1 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
