Texture based Markovian modelling for image retrieval
Dalila Benboudjema, Fŕed́eric Precioso · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
Texture is one of the main features with color, shape, edges ... by which human being perceives image. It can be viewed as a set of pixels within an image whose local statistics or local properties (e.g. periodicity, frequency) are constant or slightly varying. In this paper we address from the statistical standpoint, the image indexing problem for image retrieval. Two new Markov model based approaches allowing texture feature extraction will be proposed and a comparison to the texture features based on Gabor filters will be presented. The three methods have been tested for image retrieval task using SVM classifier with a Gaussian kernel on texture-oriented database, Brodatz, and on another texture database. The experimental results show for the proposed scheme promising results.