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15 November 2017 Quality assessment method based on the image edge for monoclonal-picking instrument
Qi Guo, Rongfu Zhang, Hua Yan
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Proceedings Volume 10605, LIDAR Imaging Detection and Target Recognition 2017; 1060542 (2017) https://doi.org/10.1117/12.2296296
Event: LIDAR Imaging Detection and Target Recognition 2017, 2017, Changchun, China
Abstract
The image quality assessment is the basis of autofocus for monoclonal-picking instrument. For the random distribution of the monoclonal colonies, the following situation may happen, edge blurring or edge overlapping. In practice, due to the complicated morphological characteristics of colonies, to a certain degree, camera takes image with feeble features is unavoidable, so the image quality assessment based on the image edge for monoclonal-picking instrument is proposed in this paper. The experimental results show that when dealing with the image of fine colony or image with feeble features, this method is consistent with fast autofocus demand, its accuracy is higher and consumes less storage.
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Qi Guo, Rongfu Zhang, and Hua Yan "Quality assessment method based on the image edge for monoclonal-picking instrument", Proc. SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017, 1060542 (15 November 2017); https://doi.org/10.1117/12.2296296
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KEYWORDS
Image quality
Image processing
Image segmentation
Image analysis
Systems modeling
Image storage
Signal to noise ratio
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