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A new texture classification method based on wavelet transform is presented. The elements of the signature vector, FDBC, of an image are the fractal dimensions and barycentric coordinates of the bit planes of the wavelet coefficients in both the three-level high-frequency domains and the third low-frequency domain. The pretreatment is done with SVD decomposition and reconstruction by dropping half...
For wavelet transferred image, there is great relevance between sub-bands with the same direction but different resolutions. A considering to this characteristic, this algorithm adopts diverse error thresholds as well as searching steps when fractal searching is made. Great searching steps along with small error thresholds apply to high frequency sub-bands, while the contrary is suitable for low ones...
Frequency is a vital factor for power system operation and protection. This paper is on extraction of frequency feature for fault/event analysis based on wavelet transform (WT) and fractal geometry (FG). The frequency signal is decomposed by WT-based multiresolution analysis (MRA) and a family of wavelet coefficients is obtained. A maxima line is constructed by connecting the maximum point in the...
We propose an improved fractal image coding algorithm based on oriented wavelet sub-tree. The algorithm couples the wavelet transform with fractal coding, set the scanning manner according to the orientation of wavelet sub-tree. It could improve the matching precision better. In addition to improving compression performance, the proposed algorithm also couples the zero-tree structure, wipes off large...
This paper presents a new recognition method for ultra-high-frequency (UHF) signal radiated by partial discharge (PD) occurred in transformers, based on wavelet transform and fractal theory. Wavelet transform provides an effective way to decompose a signal on unlimited scales. During this process, the wavelet coefficients corresponding to each scale are obtained, which could be considered as an accurate...
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