The Surface Flaw Detection by Gabor Wavelet

This paper researches the shell body flaw product line quality detecting system which requires non-contact measurement, gives its characteristic information, displays in computer and automatic alarm functions. This system realizes the quantitative analysis for the physical features such as length and location by trailing and extracting, line draft joining and other methods to flaw image of post pretreatment. It is proved that this method using Gabor wavelet transform is better than traditional methods such as through smoothing, sharp and so on in edge extracting. The reason is that image noise and edge is high frequency signal and can't be differed by frequency band methods. As regards shell body, flaw and edge signal is high frequency weight and noise is low frequency weight. Therefore, the author reduces shell noise, extracts edge and flaw using wavelet transform according to the above characteristic.