Subpixel Edge Detection for Segmentation of the Pulp Fiber Image

Hong Juan Shi; Kai Li Zhang; Qing Hua Li

doi:10.4028/www.scientific.net/AMM.568-570.696

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 568-570Subpixel Edge Detection for Segmentation of the...

Subpixel Edge Detection for Segmentation of the Pulp Fiber Image

Abstract:

In this paper the problem of accurate edge detection for pulp fibers images is discussed. The images are acquired by the smart CCD camera. Subpixel edge detection is considered that applied in the system to improve the measurement accuracy of pulp fibers. The location of a precise edge is the basis of kink index, kink Angle, curl index and other measurement parameters for the pulp fibers. A new method for subpixel edge detection of the pulp fibers is introduced. Canny operator is used to get the pixel level edge. Each edge point determines five pixels in the gradient direction. Then the least squares fitting is used to locate its sub-pixel edge. The measurement results show that the proposed subpixel edge detection method is valid to improve measurement accuracy for real time measuring the pulp fiber parameters.

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Periodical:

Applied Mechanics and Materials (Volumes 568-570)

Pages:

696-700

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.568-570.696

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Cite this paper

Online since:

June 2014

Authors:

Hong Juan Shi, Kai Li Zhang*, Qing Hua Li

Keywords:

Canny Operator, Edge Detection, Least Square Fitting, Subpixel Edge Detection

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* - Corresponding Author

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