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In this paper, a multiresolution approach is suggested for texture classification of atherosclerotic tissue from B-mode ultrasound. Four decomposition schemes, namely, the discrete wavelet transform, the stationary wavelet transform, wavelet packets (WP), and Gabor transform (GT), as well as several basis functions, were investigated in terms of their ability to discriminate between symptomatic and...
Recently, writer identification has been studied and it has a wide variety of applications, more specifically in biometric and forensic science. This paper presents the use of texture features in identifying the writer from the handwritten document image. The texture features are extracted based on the co-occurrence histograms of wavelet decomposed images, which capture the information about relationships...
This paper proposes a novel framework for color texture segmentation based on Discrete Reduced Biquaternion Fourier Transform (DRBFT) and Discrete Wavelet Transform (DWT). Reduced biquaternions (RB), which are an extension of the complex numbers, are used to characterize the color information. Multi-Channel wavelet filtering is used to extract the texture information at various scales from the LUV...
Script identification for handwritten document image is an open document analysis problem. In this paper, we propose an approach to script identification for documents containing handwritten text using the texture features. The texture features are extracted based on the co-occurrence histograms of wavelet decomposed images, which capture the information about relationships between each high frequency...
We present a novel DCT technique for digital watermarking of textured images based on the concept of gray-level co-occurrence matrix (GLCM). We provide analysis to describe the behavior of the method in terms of correlation as a function of the offset for textured images. We compare our approach with another spatial and temporal domain watermarking techniques and demonstrate the potential for robust...
This paper presents a detection of defect in diamond images using 2-D wavelet transform for helping to solve problems in diamond quality examination by photographs. The wavelet is able to examine images in a form of texture, graph and histogram which this method is cable to take these values to analyze the differences between defective and flawless diamond because the image of each diamond have different...
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