Abstract
Some core techniques related with automatic measurement of two dimensional object are discussed. Two kinds of corner point detecting methods are given. Least square fitting is used for edge line fitting. Region selection for accurate measurement is proposed. Combined with image recognition, location and macro recording file, automatic measurement of two dimensional object is realized.
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References
Sun X A, Chen S Z. Adaptive segmentation based on local image attribute,Wuhan University Journal of Natural Science, 1997,2(2):185–189
Tsai D M. Boundary-based corner detection using neural networks.Pattern Recognition, 1997,30(1):85–91
Rargarajan K, Shah M, Brackle D V. Optimal corner detection.Computer Vision Graphics Image Process, 198948:230–245
Ray B K, Ray K S. An algorithm for detection of dominant points and polygonal approximation of digitized curves.Pattern Recognition Lett, 1992,13:849–856
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Supported by National Key Science and Technology Research Project During the 9th Five-year Peroid
Sun Xiaoan: born in 1968. Associate professor, Ph.D
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Xiaoan, S., Shuzhen, C., Yaping, C. et al. Automatic measurement of two dimensional object. Wuhan Univ. J. Nat. Sci. 3, 61–64 (1998). https://doi.org/10.1007/BF02827516
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DOI: https://doi.org/10.1007/BF02827516