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In order to gaining virtue of Surfacelet transform and NSCT, this paper proposes image denoising method of combining two methods. This is conquer the defects of NSCT which has light nick in image edge and Surfacelet transform which has noise point in local image. This method not only has high SNR but also improves to keep image edge information. The experimental results indicate that de-noised image...
A new method based on permutation entropy and grey level feature is provided in this paper. Permutation entropy is a new complexity measure for time series based on comparison of neighbouring values. The definition applies to describe the texture feature of image. The new complexity measure feature combines with the grey-scale mean and grey-scale deviation, construct multi-dimension feature vector...
Two novel methods for computing 3D structure information from video for a piecewise planar scene are presented. The first method is based on a new line constraint, which clearly separates the estimation of distance from the estimation of slant. The second method exploits the concepts of phase correlation to compute from the change of image frequencies of a textured plane, distance and slant information...
Texture image segmentation consists of two stages: feature extraction and classification. The new method advanced in this paper fuses the log-gabor filter and DCT features in the first stage, then uses the fusion of fuzzy c-means (FCM) and support vector machines (SVM) classifier to cluster the fused feature sets. The fused feature sets produce higher feature space separations, and the fusion of multi-classifiers...
Texture, a representation of the spatial relationship of gray levels in an image, is an important characteristic for the automated or semi-automated interpretation of digital images. Many previous analyses have shown how to discriminate texture images, which include gray level co-occurrence matrix (GLCM), Laws' texture energy (LAWS) and Gabor multi-channel filtering (GABOR) etc. We have devised a...
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