A texture descriptor for image retrieval and browsing

P. Wu, B.S. Manjunanth, S.D. Newsam, H.D. Shin
Proceedings IEEE Workshop on Content-Based Access of Image and Video Libraries (CBAIVL'99)  
Image texture is an important visual primitive in image search and retrieval applications. To characterize texture information of images, a texture descriptor is proposed to capture both the perceptual information and the statistics of textures. The descriptor consists of two parts: a Perceptual Browsing Component (PBC) and a Similarity Retrieval Component (SRC). The emphasis of this paper is to introduce the extraction method for the PBC which is based on multidimensional decomposition of
more » ... s using Gabor filters. By analyzing the one dimensional projections resulting from filtered images, PCB gives a quantitative measure about the structuredness of textures and also identifies the directionality and coarseness (scale). Our experimental results demonstrate that PBC can capture these texture properties quite well.
doi:10.1109/ivl.1999.781114 fatcat:ah2vbw5qlzfe3iegkivzjoy4kq