Author(s): Baojian Zhang | Linfeng Bai | Xiangjin Zeng
Journal: Information Technology Journal
ISSN 1812-5638
Volume: 9;
Issue: 1;
Start page: 41;
Date: 2010;
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Keywords: Zernike orthogonal moments | Sub-pixel edge detection | least squares fitting
ABSTRACT
A novel sub-pixel edge detection and center localization algorithm for micro-parts is presented for improving the resolution and accuracy of micro-assembly systems. Firstly, the invariant moments are employed to descript the feature of the micro parts, then, we extracts the edge of micro parts at pixel level using canny operator. Secondly, Zernike orthogonal moments is used to relocate the edge of micro size part at sub-pixel level. Last, we apply least squares ellipse fitting to position the center. Experiment results show that the algorithm, we presented could achieve higher location accuracy and consume less time.
Journal: Information Technology Journal
ISSN 1812-5638
Volume: 9;
Issue: 1;
Start page: 41;
Date: 2010;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: Zernike orthogonal moments | Sub-pixel edge detection | least squares fitting
ABSTRACT
A novel sub-pixel edge detection and center localization algorithm for micro-parts is presented for improving the resolution and accuracy of micro-assembly systems. Firstly, the invariant moments are employed to descript the feature of the micro parts, then, we extracts the edge of micro parts at pixel level using canny operator. Secondly, Zernike orthogonal moments is used to relocate the edge of micro size part at sub-pixel level. Last, we apply least squares ellipse fitting to position the center. Experiment results show that the algorithm, we presented could achieve higher location accuracy and consume less time.
