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The appearance of a surface texture is strongly dependent on the illumination direction. This is why current state-of-art surface texture classification methods require multiple training images captured under a variety of illumination conditions for each class. This paper presents an inexpensive method for illumination-invariant texture classification based on self-similarity and wavelet transform...
In this paper, we introduce the primal sketch model which might lead to a new image compression method. The primal sketch model integrates two modeling schemes for two type components in natural images: the sketchable and the non-sketchable parts. The sketchable part explains the structural components of the image by using a hidden layer of image primitives. The non-sketchable part denotes the remaining...
In content-based image retrieval, the representation of local properties in an image is one of the most active research issues. This paper proposes a salient region detector based on wavelet transform. The detector can extract the visually meaningful regions on an image and reflect local characteristics. An annular segmentation algorithm based on the distribution of salient regions is designed. It...
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