… approach to perform supervised texture classification/segmentation. The proposed idea is
to … specific texture descriptors. These texture features are extracted from images by using an …

… in texture classification we propose to search a set of scale proposals or candidate scale
levels in a given texture … A necessary prerequisite for texture classification with extreme scale …

… Here, we present a version of this result that considers a non-uniform rate of information (coefficients)
per sub-band, which is needed for the case of WP texture analysis. Let us assume …

… Often handcrafted techniques based on texture analysis are proposed to classify … In
comparison to Bruno et al., we also use descriptors computed from a directional wavelet transform, …

… domain) by a nonlinear mapping (wavelet frame transform). The new feature space has an
… tight wavelet frames on graphs as a starting point, this paper utilizes tight wavelet frames to …

… from texture classification [10, 13]. Tsiaparas et al. [29] suggested a multi-resolution approach
for texture classification of … of wavelet transform to characterize and classify the texture of …

… Moreover, the decomposition effect of different wavelet bases is different. The selection of
base wavelet is the main problem of using wavelet transform. Using different base wavelets on …

… In this paper, we devise an iterative framework for segmenting spherical images using
wavelets defined on the sphere, extending the method proposed in [9], [10]. The first stage of the …

… Texture classification is one of the important areas in computer vision and pattern … imaging
analysis [10,11,12] and so on. As the most important step of texture classification, texture …

… In this paper, a textural analysis method based on curvelet and contourlet MRA for slum
identification is proposed. The proposed algorithm is tested on IRS-1C and Worldview-2 images …