Research of Edge Detection Based on B-Spline multi-scale Wavelet TransformReport as inadecuate




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Multi-scale analysis of wavelet transform solves noise suppression and edge extraction of conflict between the details well. Wavelet transform has the ability to detect local mutations. And signal edge is where the greatest rate of change. So wavelet transform is a good tool for edge detection. B-Spline function is chosen as the wavelet smoothing filter operators. This approach excels in the filter will also remove some weak edges. In order to compensate for this deficiency, an improved B-Spline wavelet edge detection algorithm with adaptive threshold is proposed. According to the computer simulation, this algorithm has a good anti-noise performance and edge localization ability, maintains the weak edge together with noise elimination.

KEYWORDS

Wavelet Transform; B-Spline Wavelet; Multi-scale Analysis; Adaptive Threshold

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Author: Xue Zhang

Source: http://www.scirp.org/



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