| 2018 International Conference on Advanced Materials, Intelligent Manufacturing and Automation | |
| An Image Mosaic Algorithm based on Coordinate Transformation | |
| 材料科学;机械制造;运输工程 | |
| Liu, Lingyun^1 ; Wu, Yuemin^1 ; Luo, Min^1 ; Ma, Bin^1 | |
| School of Electric and Information Engineering, Hubei University of Automotive Technology, Shiyan | |
| 442002, China^1 | |
| 关键词: Acquisition systems; Backward mapping; Co-ordinate transformation; Geometric measurements; High resolution; Image distortions; Image mosaic algorithms; Vision measurement; | |
| Others : https://iopscience.iop.org/article/10.1088/1757-899X/382/5/052001/pdf DOI : 10.1088/1757-899X/382/5/052001 |
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| 学科分类:材料科学(综合) | |
| 来源: IOP | |
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【 摘 要 】
In this paper, an image mosaic algorithm is presented to realize the high-precision geometric measurement of large parts through the vision measurement. First, the visual acquisition system moves along the planned trajectory path and grabs the high-resolution, small-viewing field image sequence successively, then a backward mapping algorithm is adopted to resample the above-mentioned images in the normalized focal plane in order to eliminate the image distortion. Finally, with the aid of pose transformation relations, the mapping images are precisely tiled into a larger field of view image. This image mosaic algorithm has high mosaic accuracy and is suitable for a wide range of applications due to its independency on characteristics information of the image to be mosaicked. Experimental results show that the algorithm has good application value.
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| An Image Mosaic Algorithm based on Coordinate Transformation | 294KB |
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