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2D-Gabor transforms are considered as an effective spatial-frequency analysis technique in diverse area of image processing, especially in texture feature detection field due to it owns good localization ability in both spatial and frequency domain and also has excellent directional selectivity. In this paper, a method of feature extraction of palm print using real-Gabor transform (RGT) is proposed,...
The feature extracted by the rotation invar -iants of radial Tchebichef moments could make the image analysis more effectively. However, the classical method adopted integral point sampling which has defects of too many sampling points in the centre of unit circle and insufficient samplings on the edge of the circle. It reduces the efficiency of feature extraction. In order to resolve this problem,...
Image denoising has been being a hotspot in the discipline of image processing. In this paper, we first analyze the intra-scale distribution and inter-scale distribution characteristics of the coefficients at finer-scale of the noise image, and then propose an edge detection method for preserving important high frequency information through incorporating the coefficients correlation of intra-scale...
The feature extracted by the rotation invariants of radial Tchebichef moments could make the image analysis more effectively. However, the classical method adopted integral point sampling which has defects of too many sampling points in the centre of unit circle and insufficient samplings on the edge of the circle. It reduces the efficiency of feature extraction. In order to resolve this problem,...
In this paper, a fast and robust face detection method in video is introduced. To speed up, we integrate motion energy into cascade-structured classifier to reject most of the candidate windows. Motion energy representing moving extent of candidate regions can be computed efficiently with integral motion image and thus accelerates the evaluating procedure greatly. By dividing state of system into...
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