Sub-Pixel Edge Detection on the Product Line

Xia Zhu; Yu Lin Zhang

doi:10.4028/www.scientific.net/AMM.423-426.2526

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 423-426Sub-Pixel Edge Detection on the Product Line

Sub-Pixel Edge Detection on the Product Line

Abstract:

In this paper, we present a new method to detect sub-pixel edges of shape-known objects. Differ from other sub-pixel edge detection methods based on normal information, we use tangential information. We introduce theories of this method, as well as the influences on the performance of this method caused by size, sampling location and direction of the object. This new method has been practically applied and compared with other methods in real pictures on the product line. Results show that this method provides more accurate sub-pixel edge in practical applications.

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Periodical:

Applied Mechanics and Materials (Volumes 423-426)

Pages:

2526-2529

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.423-426.2526

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Online since:

September 2013

Authors:

Xia Zhu, Yu Lin Zhang

Keywords:

Edge Detection, Image Processing, Machine Vision, Sub-Pixel

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