A WT-Based Edge Detection with Adaptive Threshold
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.
Helen Zhang, Gang Shen and David Jin
D. Y. Zhang et al., "A WT-Based Edge Detection with Adaptive Threshold", Advanced Materials Research, Vols. 204-210, pp. 1386-1389, 2011