… , general dynamic texture analysis methods are rather intended for global classifications in
… as well as to general methods of material and dynamic texture analysis and segmentation. …

… For media-adventitia we take the sum of the most coarse texture image obtained for the
Discrete wavelet frames and the Intensity. In this sum image we look for the maxima over the …

… Therefore, the LBP is exploited for texture analysis of 2D images in this study. The
objective of the study is to explore a feasible approach with better classification accuracy and …

… This paper is a revised and expanded version of a paper entitled ‘Dynamic texture segmentation
using texture descriptors and optical flow techniques’ presented at Proceedings of 3rd …

… The performance of the methodology is assessed using two texture analysis methods: Histogram
… 3 introduces texture analysis methods (HOG and Curvelet transform) and classification …

… the much explored wavelet transform for texture analysis due to … of texture features using
curvelet, contourlet and wavelet transforms and subsequent segmentation of the images using …

… Intelligent processing techniques of SVMs and color-texture analysis methodologies have
been proposed in their consecutive work for automatic detection of gastrointestinal adenomas …

… Dynamic Texture Analysis is basically done to extract some kind of information from the … or
sequence of image frames of the video. Figure 1 shows some examples of Dynamic Textures. …

… the classification of eight types of rice grain using image processing and neural network.
Three different texture … and wavelet decomposition were considered. The contribution of these …

… Section III discusses about the novel feature extraction that we have used to extract signal
based features from thyroid US images and the different texture classification methods. …