Research on the adaptive probabilistic approach of texture analysis and its application in texture classification

De Cai; Wen Hong; Yirong Wu

doi:10.1117/12.791429

5 March 2008 Research on the adaptive probabilistic approach of texture analysis and its application in texture classification

De Cai, Wen Hong, Yirong Wu

Author Affiliations +

Proceedings Volume 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing; 662312 (2008) https://doi.org/10.1117/12.791429
Event: International Symposium on Photoelectronic Detection and Imaging: Technology and Applications 2007, 2007, Beijing, China

Abstract

Within a Bayesian framework, Brady proposed the adaptive texture approach for more accurate description and applied this model in texture segmentation with a neighbourhood-based algorithm. In this paper, the efficiency of the texture model in Brady's segmentation method is investigated. In the segmentation experiments of Brodatz texture mosaics and a remote sensing image, the results show that the good segmentation performance mainly owes to the neighbourhood-based algorithm, but not Brady's texture description model. Moreover, this probabilistic model is applied in texture classification with a MAP method. To improve the correct classification rate of the image bank, a method combining the best adaptive texture description of each class is proposed and obviously improves the rate from 91% to 95%.

Citation Download Citation

De Cai, Wen Hong, and Yirong Wu "Research on the adaptive probabilistic approach of texture analysis and its application in texture classification", Proc. SPIE 6623, International Symposium on Photoelectronic Detection and Imaging 2007: Image Processing, 662312 (5 March 2008); https://doi.org/10.1117/12.791429

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