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

Abstract

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.