Electronic Science and Technology ›› 2020, Vol. 33 ›› Issue (7): 46-50.doi: 10.16180/j.cnki.issn1007-7820.2020.07.010

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Gesture Image Edge Detection Based on Improved Canny Operator

BAI Liyin,PENG Yaxiong,LU Anjiang   

  1. School of Big Data and Information Engineering,Guizhou University,Guiyang 550025,China
  • Received:2019-05-06 Online:2020-07-15 Published:2020-07-15
  • Supported by:
    Guizhou Province Science and Technology Achievements Transformation Project([2017]4856)


Aim at the problem that the existed gesture detection was inaccurate and the gesture edge detection was deviated, an improved Canny operator was proposed to detect the edge of the gesture image. The improved Canny operator used adaptive median filtering combined with bilateral filtering to remove image noise. On the basis of Sobel, the gradient amplitude calculation in the 45° and 135° directions was extended, and the optimal threshold was adaptively obtained to discriminate the image edge. Finally, the Huff transform combined with the gradient direction of the pixel was used to detect, connect and enhanced the edge. Experiments showed that the results of the improved Canny operator detection were more connected than the traditional Canny operator. The edge continuity was better, the detection accuracy was higher, and the adaptability was enhanced

Key words: improved Canny operator, edge detection, noise reduction, adaptive median filtering, Huff transform detection, connection edge

CLC Number: 

  • TP391