A type of voting diffusion model and its application in defect detection in aluminum castings

Abstract

We make use of a type of voting diffusion model for casting image processing. This model is based on an anisotropic diffusion equation driven by a diffusion tensor, whose structure depends on the coupled time-delay regularization of a matrix. The diffusion tensor determines the directions of the diffusion as well as the speed in these directions. Experimental results show that this model is superior to the PM model and other methods based on classical edge detection in processing the casting images without affecting its interesting features. Namely, it has better preservation of the flaws.