Development of an Image Processing Method for Automatic Inspection of Wear of Throw-away Tips

Abstract

The built-in inspection is very important for quality control in precision cutting by throw-away tip. We propose a new automatic inspection method for tool ware of industrial devices. We first do contrast enhancement of the ware image and then segment the cutting ware region by using Otsu thresholding method from the enhanced image. The area of the cutting ware region is used a measure of cutting ware degree. Experimental results show that the proposed method is effective for automatic inspection of throw-away tips in precision cutting.