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It is well known that unsupervised classification of a single polarized SAR image is accomplished mainly by two steps i.e., (i) Clustering the SAR image into groups or clusters on the basis of backsca...
In 3D video applications, the virtual view is generally rendered by the compressed texture and depth. The texture and depth compression with different bit-rate overheads can lead to different virtual...
In this paper, we propose a novel background subtraction algorithm, which takes both texture and motion information into account. Texture information is represented by local binary pattern (LBP),which...
In this paper, we present a novel approach to classify texture collections. This approach does not require experts to provide annotated training set. Given the image collection, we extract a set of in...
Airborne laser scanning (ALS) data are usually considered not to be very informative with respect to tree species, and the information needed regarding these is often obtained by combining the ALS d...
Text embedded in images or videos is indispensable to understand multimedia information. In this paper we propose a new text detection method using the texture feature derived from text strokes. The m...
A new approach to analyze and synthesize texture regions in video coding is presented, where texture blocks in video sequence are synthesized using graph cut technique. It first identifies the texture...
A texture-based tamper detection scheme by fragile watermarking technique is proposed in this paper.Comparing with other fragile watermarking schemes, the highlight of our scheme is that it’s rather s...
The facial texture variation is the key factor for realistic expression synthesis. It always changed with facial motion under some illumination. In this paper, we propose a realistic facial expressio...
In this paper, we present a new method for texture classification which we call the regularized simultaneous autoregressive method (RSAR). The regularization technique is introduced.With the techniqu...
A New Algorithm for Remotely Sensed Image Texture. Classification and Segmentation.
We propose a new algorithm for remotely sensed image texture classification and segmentation in this paper. We observe that the traditional method LSE is unstable in practical applications. This motiv...
A New Texture-insensitive Edge Detection Method.

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