Texture is one of the important characteristics used in identifying objects. Texture analysis plays an important role in image analysis and pattern recognition. In this paper a new set of features obtained from the 1-D MRT is shown to be useful for texture analysis. Experiments performed on 30 samples of Brodatz texture images indicate that these features can be used for texture classification.

Digital image and video libraries require new algorithms for the automated extraction and indexing of salient image features. Texture features provide one important cue for the visual perception and discrimination of image content. In this paper we propose a new approach for automated content extraction that allows for e cient database searching using texture features. The algorithm automatical...

Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, it is important to develop significant features for texture. This paper presents a novel technique for texture extraction and classification. The proposed feature extraction technique uses 2D–DFT transformation. A combi...