Study on Image Corner Extraction Based on the Improved Canny Edge Detector

Ming Ming Chen; Zhi Yong Lei; Ming Lei

doi:10.4028/www.scientific.net/AMM.433-435.273

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Algorithm of Lane Detection on an Appropriate Limited Region
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Study on Image Corner Extraction Based on the Improved Canny Edge Detector
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A Pattern Recognition Method Based on Modified Perception Algorithm
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Study on Image Corner Extraction Based on the...

Study on Image Corner Extraction Based on the Improved Canny Edge Detector

Abstract:

In computer vision system, the corners position need to be extracted from plane plate image. This paper presented a novel algorithm that improved the accuracy of corner detection from pixel to sub-pixel. The Canny operator was used to detect the corner edge pixels, and Gaussian filter was substituted by the bilateral filtering. It can remove noise and retain more slight edge information. Then, the corner edge pixels were transformed by Zernike moment and the sub-pixel edges of the corner were getted. Finally these sub-pixel edge points were linearly fitted and it was resulted in the corner coordinates of the intersection of two fitting straight lines. The experimental results show that the proposed method improves the corner detection precision to 0.1 pixel.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

273-276

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.273

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Online since:

October 2013

Authors:

Ming Ming Chen, Zhi Yong Lei, Ming Lei

Keywords:

Bilateral Filter, Corner Detection, Image Processing, Sub-Pixel, Zernike Transformation

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