Improvement and implementation for Canny edge detection algorithm

Tao Yang; Yue-hong Qiu

doi:10.1117/12.2197080

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6 July 2015 Improvement and implementation for Canny edge detection algorithm

Tao Yang; Yue-hong Qiu

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Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96310H (2015) https://doi.org/10.1117/12.2197080
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

Abstract

Edge detection is necessary for image segmentation and pattern recognition. In this paper, an improved Canny edge detection approach is proposed due to the defect of traditional algorithm. A modified bilateral filter with a compensation function based on pixel intensity similarity judgment was used to smooth image instead of Gaussian filter, which could preserve edge feature and remove noise effectively. In order to solve the problems of sensitivity to the noise in gradient calculating, the algorithm used 4 directions gradient templates. Finally, Otsu algorithm adaptively obtain the dual-threshold. All of the algorithm simulated with OpenCV 2.4.0 library in the environments of vs2010, and through the experimental analysis, the improved algorithm has been proved to detect edge details more effectively and with more adaptability.

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Tao Yang and Yue-hong Qiu "Improvement and implementation for Canny edge detection algorithm", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96310H (6 July 2015); https://doi.org/10.1117/12.2197080

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