Paper Title:
A WT-Based Edge Detection with Adaptive Threshold
  Abstract

The existing edge detection algorithms with wavelet transform need to artificially set the threshold value and are lack of flexibility.To salve the limitations, in this paper, we propose a WT(wavelet transform)-based edge detection algorithm with adaptive threshold, which uses threshold value iteration method to achieve adaptive threshold setting. Comparison of experiment results for the CT image shows that the method which improve the clarity and continuity of the image edge can effectively distinguish edge and noise, and get more completely information of the edge. It has good application value in the fields of medical clinical diagnosis and image processing.

  Info
Periodical
Advanced Materials Research (Volumes 204-210)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1386-1389
DOI
10.4028/www.scientific.net/AMR.204-210.1386
Citation
D. Y. Zhang, L. Xiao, S. R. Bo, "A WT-Based Edge Detection with Adaptive Threshold", Advanced Materials Research, Vols. 204-210, pp. 1386-1389, 2011
Online since
February 2011
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Price
$32.00
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