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An Image Edge Detection Algorithm Based on One-Dimensional Discrete Wavelet Signal-Noise Separation

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2 Author(s)
Xingyi Li ; Sch. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Zhenjiang, China ; Xiaoli Zhao

By using wavelet transform modulus maxima method to detection image edge, edge details are easily smoothed out in the large scale analysis and related parameters great influenced by the noise is not easy to extract in traditional small scale analysis. To solve this problem, this paper proposes a method based on one-dimensional discrete wavelet image edge detection. This algorithm decompose image into one-dimensional signal, making signal-noise separation with one-dimensional discrete wavelet, and detect the edge of de-noised signal's high frequency components. The article has experimented the multiple vehicle detection in real scene for many times, and the result shows that this algorithm solved the problem that exist in wavelet transform modulus maxima method to test image edges in small scale analysis, restraining noise better, and had higher precision in edge localization.

Published in:

Intelligent Systems (GCIS), 2012 Third Global Congress on

Date of Conference:

6-8 Nov. 2012

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