Paper Title:
A Sub-Pixel Localization Algorithm on the Basis of Gauss Curve Fitting in Gradient Direction
  Abstract

The most important thing of the detection system is the locating accuray of the pattern edge. With respect to the conventional sub-pixel localizaton algorithm and the irregular edge of the target image, a Gauss curve fitting edge localization algorithm in gradient direction is presented based on the Sobel operator and the usual curve fitting edge localization algorithm; according to a gradient distribution of a target image, a Gauss curve is used to fit defected edges so as to realize sub-pixel location of the edges. Experiments demonstrate that the proposed method is rightness and effectiveness, can obviously improve the accuracy of edge localization and target recognition.

  Info
Periodical
Advanced Materials Research (Volumes 219-220)
Edited by
Helen Zhang, Gang Shen and David Jin
Pages
1149-1152
DOI
10.4028/www.scientific.net/AMR.219-220.1149
Citation
N. Zhao, C. X. Fu, "A Sub-Pixel Localization Algorithm on the Basis of Gauss Curve Fitting in Gradient Direction", Advanced Materials Research, Vols. 219-220, pp. 1149-1152, 2011
Online since
March 2011
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$32.00
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