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Research of veneer defect identification based on coupling image decomposition and edge detection

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2 Author(s)
Chao Wang ; Coll. of Inf. & Comput. Eng., Northeast Forestry Univ., Harbin, China ; A-chuan Wang

Aiming at the identification difficulty of texture-rich veneer defect images, a new variation model based on coupling image texture-structure decomposition and edge extraction is proposed in this paper. Firstly, An advanced AAFC structure-texture decomposition model is obtained through extending the regular items of AAFC model; Secondly, using the semi-quadratic regularization method to obtain a new model of coupled texture extraction and edge detection, and combining with the Chambolle's projection algorithm to finish the numerical solving of the now model, and finally realizing the structure-texture decomposition and extracting the edge information of veneer defect images. The experiment results show that the new model can get better edge information while conducting the structure-texture decomposition of veneer defect images, which indicates that the effect of image edge extraction in this paper can be better than separate edge extraction.

Published in:

Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on

Date of Conference:

18-20 Oct. 2012