摘要
In order to quickly and exactly detect the subpixel image edge of micro-part, a fast subpixel edge detection method based on the property of Gaussian blurred edge model is proposed. Firstly, the approximate positioning of edge point was extracted by double-threshold segmentation; secondly a Zernike moment operator with a mask size of 5×5 was used to get rid of false edge points and relocate the edge with subpixel accuracy. Experiment results show that the subpixel accuracy and the running time of the method are 0.16 pixel and 0.94s. Therefore, the method is suitable for online threedimensional size detection of micro-part.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Fifth International Conference on Machine Vision, ICMV 2012 |
| 主期刊副标题 | Computer Vision, Image Analysis and Processing |
| DOI | |
| 出版状态 | 已出版 - 2013 |
| 活动 | 5th International Conference on Machine Vision: Computer Vision, Image Analysis and Processing, ICMV 2012 - Wuhan, 中国 期限: 20 10月 2012 → 21 10月 2012 |
出版系列
| 姓名 | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| 卷 | 8783 |
| ISSN（印刷版） | 0277-786X |
| ISSN（电子版） | 1996-756X |
会议
| 会议 | 5th International Conference on Machine Vision: Computer Vision, Image Analysis and Processing, ICMV 2012 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Wuhan |
| 时期 | 20/10/12 → 21/10/12 |
指纹
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Zeng, T., Shi, G., Zhang, B., Wang, Z., & Yang, F. (2013). A fast subpixel edge detection method for image of micro-part. 在 Fifth International Conference on Machine Vision, ICMV 2012: Computer Vision, Image Analysis and Processing 文章 87831H (Proceedings of SPIE - The International Society for Optical Engineering; 卷 8783). https://doi.org/10.1117/12.2014207