Study on Accurate Measurement Technology for Microscopic Image

Pei Long Xu

doi:10.4028/www.scientific.net/AMR.798-799.638

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 798-799Study on Accurate Measurement Technology for...

Study on Accurate Measurement Technology for Microscopic Image

Abstract:

In this study the accurate calibration technique of microscopic image was studied. A set of method which could accurately calibrate the microscopic images was established through construction of mathematic models for Lens distortion correction, binaryzation, and edge extraction etc. Experiments results indicates that, this method owns characteristics of small error, high recognition rate, fast calculation speed, and could finish calibration of microscopic images relatively accurately.

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Periodical:

Advanced Materials Research (Volumes 798-799)

Pages:

638-642

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.798-799.638

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Online since:

September 2013

Authors:

Pei Long Xu

Keywords:

Distortion Correction, Mage Processing, Microscopic Image

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References

[1] Jing Wang, Haihong Mao, Junsheng Chen, Renguo Gu. Computer processing technical analysis on consolidation microscopic image of soft soil . Journal of Information and Computational Science . Vol. 9 No. 9, pp.2465-2473, (2012).

Google Scholar

[2] Peilong Xu, Study on Moving Objects by Video Monitoring System of Recognition and Tracing Scheme, TELKOMNIKA, Vol. 11, No. 9, pp.4847-4851, (2013).

DOI: 10.11591/telkomnika.v11i9.2740

Google Scholar

[3] Qinghua Wu, Xuesong Yan, Hanmin Liu. Image Matching Algorithm Based on Improved Genetic Algorithm, International Review on Computers and Software, Vol. 7 N. 6, pp.3068-3072, (2012).

Google Scholar

[4] Hause L.L., Clowry L.J., Cheng D.S., Geanon G.D., Megan, P.A. Interpretation of microscopic image analysis of cell nuclei . Computerized Medical Imaging and Graphics . Vol. 14 No. 4, pp.225-230, 1990.

DOI: 10.1016/0895-6111(90)90001-r

Google Scholar

[5] Xuelong Hu , Min Zhang , Nan Jiang , Xiang Yin . An algorithm for microscopic image granularity calculation based on mathematical morphology . Journal of Computational Information Systems. Vol. 6 No. 12, pp.4177-4183, (2010).

Google Scholar

[6] Qunli Li. Gray-Level Image Threshold Segmentation Based on Double Set FCM and Improved Intra-class Minimum, International Review on Computers and Software, Vol. 7 N. 4, pp.1819-1824, (2012).

Google Scholar

[7] Wei Feng , Wenxing Bao . A new technology of remote sensing image fusion. Telkomnika. Vol. 10 No. 3, pp.551-556, (2012).

Google Scholar