Imagery processing of friction welding supersonic C scanned picture based on mathematics shape and image division

The friction welding supersonic C scanned pictures will introduce the noise in process of gatherring and conversion, and the disturbance of the noise to the image effects image´s quality, which brought the enormous difficulties for image characteristic information extraction and analysis. Therefore, this article will propose a denoising analysis method, which obtains the scanned picture to the experiment by using mathematics morphology, and then simulation compares its result with the median filter method and the wavelet threshold method. The result shows that in view of the Gauss noise, the effect of mathematics shape filtering algorithm denoising must surpass other two methods. Finally, we carry on image division to the denoising image by detecting, and through the analysis to area percentage which is obtained by segmentation, we can roughly judge the test sample´s quality. It will provide a new mentality whether the specimen is conform to the industry use.