• DocumentCode
    3307113
  • Title

    Micro-gear Image Edge Detection Based on Mathematics Morphologic

  • Author

    Ai, Zetan ; Shi, Gengchen

  • Author_Institution
    Sch. of Mechatronical Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    172
  • Lastpage
    174
  • Abstract
    In order to get Micro-gear image edge fast and accurately, a new algorithm based on Mathematics morphologic is proposed in the paper. Morphological theory is used for image segmentation so as to obtain the internal and external structure of the image; when the two parts edges are detected respectively, the whole image edge is obtained correspondingly. In this paper, the basic theory of mathematical morphology is introduced firstly; then, the proposed edge detection algorithm based on the theory mentioned above is highlighted; at last, to show the effect of the proposed algorithm, many experiments are done to compare it with other methods on the edge detection of the Micro-gear images. Experimental result shows the proposed approach not only spend less time, but also obtain more accurate edge.
  • Keywords
    Image edge detection; Image segmentation; Laplace equations; Machine vision; Man machine systems; Mathematics; Morphology; Pulse shaping methods; Shape measurement; Signal to noise ratio; Mathematics morphologic(MM); Micro-gear image; edge detection; image segmentation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
  • Conference_Location
    Kaifeng, China
  • Print_ISBN
    978-1-4244-6595-8
  • Electronic_ISBN
    978-1-4244-6596-5
  • Type

    conf

  • DOI
    10.1109/MVHI.2010.125
  • Filename
    5532695