Directional sub-pixel edge detection based on limited window local entropy

Wang Qiang*, Zhang Zhijing, Ye Xin, Jin Xin, Zhou Zhi

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

To realize precise micro-vision positioning based on edge detection of micro-structure parts, a pixel-level edge points detection method based on limit local entropy was proposed. 2-3 pixel were extended in the gradient direction to both sides from the edge points to construct the 3 cubic spline interpolation function of edge transition zone. Using function derivation to obtain the floating value of sub-pixel coordinates, then, sub-pixel coordinate was located according to the positioning principle of directional sub-pixel coordinates. Finally, the fine grinding standard gauge block and LIGA micro-spring were taken as example, using traditional gradient edge detection and the method proposed in this paper to realize image edge detection, and achieve the width measurement. The results show that the edge positioning accuracy of the method proposed in this paper is higher than the traditional gradient edge detection method. And whether the pixel level edge positioning accuracy or sub-pixel edge positioning accuracy are much higher than the positioning accuracy required of micro-assembly systems (5μm).

源语言英语
主期刊名Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011
523-526
页数4
DOI
出版状态已出版 - 2011
活动2011 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011 - Shenzhen, Guangdong, 中国
期限: 28 3月 201129 3月 2011

出版系列

姓名Proceedings - 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011
2

会议

会议2011 4th International Conference on Intelligent Computation Technology and Automation, ICICTA 2011
国家/地区中国
Shenzhen, Guangdong
时期28/03/1129/03/11

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