Spline Interpolation Sub Pixel Edge Detection Method Based on Improved Morphological Gradient

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Abstract:

In order to improve the accuracy of image edge detection.A spline interpolation sub pixel edge detection method based on improved morphological gradient is proposed in the thesis.Firstly,using improved morphological gradient filter operator for image coarse positioning;Then,the cubic spline interpolation method is carried out for pixel-level edge of the image interpolation so that the image edge locates in sub-pixel level.Have a simulation experiment to improved methods by Matlab, results show that the improved method can accurately detect the edge of the image, edge detection is fine, the precision of positioning is hight and the result of detection is good.

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Advanced Materials Research (Volumes 971-973)

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1756-1759

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June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Shaojun Zhang, Jiaojian Ai, Zhongfu Li: Using digital image processing techniques to measure the geometry size, Journal of Beijing university of science and technology, 284-287(2002).

Google Scholar

[2] Hochong Park, Roland T Chin: Decopmosition of arbitrarily shaped morphological structuring e lements[J]. IEEE Trans on PAMI , 2-15(1995).

DOI: 10.1109/34.368156

Google Scholar

[3] Kris Jensen, Dimitris Anastassiou: Sub pixel edge localization and the interpolation of still images[C]. IEEE Transactions on Image, 1995. 17(6): 629一634.

Google Scholar

[4] Wenlong Xie, The constructor of the cubic spline function, Journal of Jiangnan, 2000(6).

Google Scholar

[5] T.A. Abbasi M.U. Abbasi: A novel FPGA-based architecture for Sobel edge detection operator[J]. International Journal of Electronics, 2007. 94(9): 889一896.

DOI: 10.1080/00207210701685253

Google Scholar