Algorithm for Improving Image Edge Detection Based on Directional Wavelet Transform

Abstract:

The information of the image edge is the important parameters in identifying, segmenting and compressing image. The performance of the algorithms about edge image algorithms closely relies on the noises generally included in the image. The main goal of this paper is firstly to eliminate the false edges by the median filter and extract the information of the edge image by directional wavelet transform. Application on image data shows that the proposed tool can enhance the direction edge images which is fused to form the complete image edge.

• Periodical: Applied Mechanics and Materials (Volumes 543-547)
• Pages: 2763-2765
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.543-547.2763
• Online since: March 2014
• Authors: Xiang Shi Wang*, Gui Feng Liu
• Keywords: Directional Wavelet Transform, Image Edge, Median Filter

References

[1] Z．Lei, B．Paul，Edge detection by scale multiplication in wavelet domain [J], Pattern Recognition Letters, 2002, 23(14): 1771-1784.

DOI: 10.1016/s0167-8655(02)00151-4

[2] Li W, Zhu X F. A new image fusion algorithm based on wavelet packet analysis and PCNN[J]. Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005: 5297-5301.

DOI: 10.1109/icmlc.2005.1527879

[3] Murenzi R (1989) Transformée en ondelettes multidimensionnelle etapplication à l'analyse d'images. Thèse Louvain-La-Neuve.

[4] Gao Guo rong. A revised image edge detection method based on wavelet, application Research of Computers (2011).

[5] Yuan Xiu Gui, Gong Zheng. Edge detection algorithm based on edge directional wavelet. Computer engineering and science. (2010).