| Paper: | IMDSP-P10.6 | ||
| Session: | Image Analysis | ||
| Time: | Thursday, May 20, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Analysis | ||
| Title: | LOGARITHMIC QUANTISATION OF WAVELET COEFFICIENTS FOR IMPROVED TEXTURE CLASSIFICATION PERFORMANCE | ||
| Authors: | Andrew Busch; Queensland University of Technology | ||
| Wageeh Boles; Queensland University of Technology | |||
| Sridha Sridharan; Queensland University of Technology | |||
| Abstract: | The coefficients of the wavelet transform have been widely used for texture analysis tasks, including segmentation, classification and synthesis. Second order statistics of such values have been shown to give excellent performance in these applications, and are typically calculated using co-occurrence matrices, which require quantisation of the coefficients. In this paper, we propose a non-linear quantisation function which is experimentally shown to better characterise textured images, and use this to formulate a new set of texture features, the wavelet log co-occurrence signatures. | ||
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