Paper Title:
Subpixel Edge Detection of Autofocus for Micro-Machine Vision System
  Abstract

Aiming at the subpixle edge detection of speckle in autofocus for micro-machine vision, a novel accurate subpixel edge detection algorithm was proposed. The image of the part to be inspected was binaried by simple threshold algorithm. The noise in image was eliminated by blob area threshold algorithm. The pixel level edge detection was done and the single-pixel width connected pixel level contour was acquired by binary mathematical morphological algorithm. The subpixel level edge detection was completed and the subpixel level contour was obtained by 9×9 pixel rectangular lens algorithm based on cubic spline interpolation. The example result indicate that calculation speed of the algorithm proposed herein is fast, anti-noise performance is high, inspection accuracy is high, and subpixel edge location accuracy can reach to μm level.

  Info
Periodical
Edited by
Yuhang Yang, Xilong Qu, Yiping Luo and Aimin Yang
Pages
228-232
DOI
10.4028/www.scientific.net/AMR.216.228
Citation
J. G. Wu, K. F. He, B. Qin, "Subpixel Edge Detection of Autofocus for Micro-Machine Vision System", Advanced Materials Research, Vol. 216, pp. 228-232, 2011
Online since
March 2011
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Price
$32.00
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