Regular Texture Fault Detection by Wold-Like Decomposition
نویسندگان
چکیده
Sriram Subramanian1, Kap Luk Chan2, and Xiaoran Mo2 1 Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore, India 2 School of Electrical & Electronics Engineering, Nanyang Technological University, Singapore e-mail: [email protected] Abstract: Detecting faults in regular textures typically involves identi cation of local structures, such as knots, worm holes, etc., that destroys the normally uniform regular textured pattern. In this paper, we present a texture fault detection algorithm based on the Wold decomposition model. According to this model a texture can be decomposed into a harmonic part and a stochastic part. We postulates that the fault in the regular texture is mainly encapsulated in the stochastic part. Thus by proper exploitation of the harmonic and the stochastic part we are able to locate the fault in a texture.
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