The Improved Method for Image Edge Detection Based on Wavelet Transform with Modulus Maxima

Fu Yan Wang; Min Chen; Qing Shui Fei

doi:10.4028/www.scientific.net/AMR.850-851.897

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 850-851The Improved Method for Image Edge Detection Based...

The Improved Method for Image Edge Detection Based on Wavelet Transform with Modulus Maxima

Abstract:

The improved method for image edge detection based on wavelet transform modulus maxima included following steps: wavelet transform was adopted to compute local modulus maximum of edge and noise. Based on the differences between wavelet transforms of edge and noise, the separation of noise and edge was achieved by detecting local modulus maximum with quadratic discriminate method. Simulation results indicate that the inconsistency between high precision localization and high denoising ability existing in traditional edge detection algorithm could be resolved by means of the algorithm.

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Periodical:

Advanced Materials Research (Volumes 850-851)

Pages:

897-900

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.850-851.897

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Online since:

December 2013

Authors:

Fu Yan Wang, Min Chen, Qing Shui Fei

Keywords:

Edge Detection, Modulus Maximum, Wavelet Transform (WT)

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