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In this paper, we introduce an image segmentation method based on multiresolution and scale-space theory. Specifically, a nonlinear scale-space stack is constructed by anisotropic wavelet shrinkage. A tree structure is derived from the stack based on the relationships between connected components of adjacent scale layers. Then, Equivalent framework of wavelet shrinkage and anisotropic diffusion is...
At present, the wavelet transformation, combining with Kalman filter, is the most used algorithm in multi-sensor data fusion technology. However, wavelet transformation with Kalman filter has two aspect problems in algorithm. One aspect of the problem consists in the multi-resolution analysis (MRA) method of wavelet transformation. It only subdivides the approximate signal of low frequency band step...
The support vector machine (SVM) is receiving considerable attention for its superior ability to solve nonlinear classification, function estimation and density estimation. Least squares support vector machines (LS-SVM) are re-formulations to the standard SVMs. Motivated by the theory of multi-scale representations of signals and wavelet transforms, this paper presents a way for building a wavelet-based...
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