A method to auto-estimate edge detection direction

Z. Yin; B. G. Liu; F. D. Chen; G. D. Liu; F. Wan

doi:10.1117/12.2015044

31 January 2013 A method to auto-estimate edge detection direction

Z. Yin, B. G. Liu, F. D. Chen, G. D. Liu, F. Wan

Proceedings Volume 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation; 87590D (2013) https://doi.org/10.1117/12.2015044
Event: International Symposium on Precision Engineering Measurement and Instrumentation 2012, 2012, Chengdu, China

Abstract

In machine vision measurement, the edge is a key point for fitting geometric parameter. There are two problems in the edge detection process. First, there is redundant information for the object with complex shape in the field of the view. Second, the surface of the object is full of texture which is misidentified as the edge. The texture processes similar feature to the edge and cannot be removed by filter. To solve the above problems, vision sight is proposed to get an interesting region and remove redundant information. A new algorithm based on fuzzy entropy is used to auto-estimate the edge detection direction from the pure region to mixed region in order to avoid the textures which misidentified as the edge. Comparing the algorithm with Canny, the former gets less texture points than the latter. A mask film is used as a standard to weight the validity of the algorithm. The experimental result shows that the algorithm proposed by this paper is robust and accuracy in detecting edge.

Citation Download Citation

Z. Yin, B. G. Liu, F. D. Chen, G. D. Liu, and F. Wan "A method to auto-estimate edge detection direction", Proc. SPIE 8759, Eighth International Symposium on Precision Engineering Measurement and Instrumentation, 87590D (31 January 2013); https://doi.org/10.1117/12.2015044

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KEYWORDS

Edge detection

Image processing

Detection and tracking algorithms

Fuzzy logic

Image segmentation

Gaussian filters

Machine vision

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