Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement | Zendy

Xi Zhang | Zendy; Zixie Guo | Zendy; Xiangwei Liu | Zendy; Longjia Zhang | Zendy

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Research on Subpixel Algorithm of Fixed-Point Tool Path Measurement

Author(s) -

Xi Zhang,

Zixie Guo,

Xiangwei Liu,

Longjia Zhang

Publication year - 2021

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2021/7270908

Subject(s) - subpixel rendering , computer science , edge detection , deriche edge detector , enhanced data rates for gsm evolution , canny edge detector , point (geometry) , artificial intelligence , computer vision , pixel , algorithm , path (computing) , image processing , sobel operator , image (mathematics) , mathematics , geometry , programming language

Tool safety is an important part of machining and machine tool safety, and machine tool path image detection can effectively obtain the in-machine condition of a tool. To obtain an accurate image edge and improve image processing accuracy, a novel subpixel edge detection method is proposed in this study. The precontour is segmented by binarization, the second derivative in the neighborhood of the demand point is calculated, and the obtained value is sampled according to the specified rules for curve fitting. The point whose curve ordinate is 0 is the subpixel position. The experiment proves that an improved subpixel edge can be obtained. Results show that the proposed method can extract a satisfactory subpixel contour, which is more accurate and reliable than the edge results obtained by several current pixel-level operators, such as the Canny operator, and can be used in edge detection with high-accuracy requirements, such as the contour detection of online tools.

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