• DocumentCode
    2964024
  • Title

    Directional Sub-pixel Edge Detection Based on Limited Window Local Entropy

  • Author

    Qiang, Wang ; Zhijing, Zhang ; Xin, Ye ; Xin, Jin ; Zhi, Zhou

  • Author_Institution
    Sch. of Mech. & Vehicular, Beijing Inst. of Technol., Beijing, China
  • Volume
    2
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    523
  • Lastpage
    526
  • Abstract
    To realize precise micro-vision positioning based on edge detection of micro-structure parts, a pixel-level edge points detection method based on limit local entropy was proposed. 2-3 pixel were extended in the gradient direction to both sides from the edge points to construct the 3 cubic spline interpolation function of edge transition zone. Using function derivation to obtain the floating value of sub-pixel coordinates, then, sub-pixel coordinate was located according to the positioning principle of directional sub-pixel coordinates. Finally, the fine grinding standard gauge block and LIGA micro-spring were taken as example, using traditional gradient edge detection and the method proposed in this paper to realize image edge detection, and achieve the width measurement. The results show that the edge positioning accuracy of the method proposed in this paper is higher than the traditional gradient edge detection method. And whether the pixel level edge positioning accuracy or sub-pixel edge positioning accuracy are much higher than the positioning accuracy required of micro-assembly systems (5μm).
  • Keywords
    edge detection; entropy; interpolation; microassembling; production engineering computing; LIGA microspring; directional subpixel edge detection method; edge transition zone spline interpolation function; fine grinding standard gauge block; limited window local entropy; microassembly systems; microstructure parts; microvision positioning; width measurement; Accuracy; Entropy; Image edge detection; Optical imaging; Optical sensors; Pixel; Springs; Limited window; Local entropy; Optical properties; Sub-pixel edge detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.416
  • Filename
    5750941