Texture analysis and classification are some of the problems which have been paid much attention by image processing scientists since late 80s. If texture analysis is done accurately, it can be used in many cases such as object tracking, visual pattern recognition, and face recognition. Since now, so many methods are offered to solve this problem. Against their technical differences, all of the...

After several decades of research, the development of an effective feature extraction method for texture classification is still an ongoing effort. Therefore , several techniques have been proposed to resolve such problems. In this paper a novel composite texture classification method based on innovative pre-processing techniques, skeletonization and Regional moments (RM) is proposed. This prop...

Age classification based on computer vision has widespread applications. Most of previous works only utilize texture feature or use contour and texture feature separately. In this paper, we proposed an age classification system that integrate contour and texture information. Besides, we improve the traditional Local Binary Pattern(LBP) feature extraction method and get pure texture feature. Sup...