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所属单位：电子信息工程学院

发表刊物：2017 2ND INTERNATIONAL CONFERENCE ON MULTIMEDIA AND IMAGE PROCESSING (ICMIP)

关键字：cutting tool wear region extraction L-0 gradient minimization model CV model

摘要：To accomplish the wear region extraction in the cutting tool wear detection system exactly, an image segmentation method based on L-0 gradient minimization model and improved CV model is proposed in this paper. Firstly, the original image is smoothed by L-0 gradient minimization model. Then the Otsu method is used to segment the smoothed image to achieve the initial location of the wear region in the cutting tool surface, after which the one-pixel edges are obtained by using the edge following algorithm. Finally, by taking the edges as initial contour, the CV model is applied to segment the original image to extract the wear region exactly. Meanwhile, to reduce the long runtime caused by the low convergence speed, an acceleration factor based on the gradient is introduced to optimize the CV model. A lot of experimental results show the proposed method has a good performance in cutting tool wear region extraction, with high speed and high precision.

是否译文：否

发表时间：2017-01-01

合写作者：龙云淋,周杨

通讯作者：吴一全