Image Stitching and Quality Evaluation Algorithm for Large Size Parts
Pages 130 - 134
Abstract
Aiming at the problem of small field of view and low precision of online vision measurement for large size parts, an algorithm for image stitching and quality evaluation of large size parts is proposed.Through the establishment of imaging normalized model, calculating the transformation matrix between images, and then the camera is calibrated several times to obtain the best calibration matrix, which can realize image stitching.Finally, according to the indexes that are the SSIM value and the DoEM value of the mosaic image to evaluate the quality of the mosaic image of large size parts.Experimental results show that the proposed method can not only reduce stitching time, improve accuracy, but also meet the subjective visual perception of human, which meets the requirements of on-line inspection of large size parts.
References
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Index Terms
- Image Stitching and Quality Evaluation Algorithm for Large Size Parts
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Published In
December 2017
272 pages
ISBN:9781450353830
DOI:10.1145/3177404
Copyright © 2017 ACM.
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- Nanyang Technological University
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 27 December 2017
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- Research-article
- Research
- Refereed limited
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ICVIP 2017
ICVIP 2017: International Conference on Video and Image Processing
December 27 - 29, 2017
Singapore, Singapore
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