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Frontier and Future Development of Information Technology in Medicine and Education pp 1001–1009Cite as

Image Enhancement Methods for a Customized Videokeratography System Designed for Animals with Small Eyes

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Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 269)

Abstract

We built a Placido’s disc videokeratographic system intended for eye examination of small animals. To derive the corneal topology and other corneal biometric parameters we rely on precise extraction of Placido ring patterns. However, since the images from CCD are noisy, image enhancement is necessary as a pre-processing procedure in order to prevent further noise magnification during the corneal surface topography reconstruction. In this study, two popular image enhancement methods, namely Gabor Filtering (GF) and Multiscale Vessel Enhancement Filtering (MVEF), are quantitatively evaluated in the context of image enhancement before corneal reconstruction. The two methods were tested on 21 images of steel balls with different diameters. Both methods have been demonstrated to be useful for Placido ring extraction; however, the GF method showed better performance on images of steel balls with smaller diameter. Compared to the GF method, the MVEF method performed better on images of steel balls with larger diameter. The result of the present work implies that the two methods should be used cooperatively.

Keywords

  • Videokeratography
  • Gabor filtering
  • Multiscale vessel enhancement filtering

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Acknowledgments

This work is supported in part by grants from National Natural Science Foundation of China (NSFC: 81171402, 61103165), the next generation communication technology Major project of National S&T(2013ZX03005013), Guangdong Innovative Research Team Program (GIRTF-LCHT, No. 2011S013), Low-cost Healthcare Programs of Chinese Academy of Sciences and International Science and Technology Cooperation Program of Guangdong Province (2012B050200004) and Shenzhen Key Laboratory for Low-cost Healthcare (CXB201005260056A).

Author information

Authors and Affiliations

  1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, People’s Republic of China

    Bin Chen, Shan Ling, Yongjin Zhou & Lei Wang

  2. Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, People’s Republic of China

    Bin Chen & Wenfu Xu

  3. School of Geosciences and Info-Physics, Central South University, Changsha, People’s Republic of China

    Shan Ling

  4. Peking University Shenzhen Hospital, Shenzhen, 518036, People’s Republic of China

    Hongfei Cen

  5. School of Optometry, Hong Kong Polytechnic University, Hong Kong, People’s Republic of China

    Kee Chea-su

  6. The Shenzhen Key Laboratory for Low-cost Healthcare, Shenzhen, People’s Republic of China

    Yongjin Zhou & Lei Wang

  7. Interdisciplinary Division of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, People’s Republic of China

    Yongjin Zhou

Authors
  1. Bin Chen
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  2. Shan Ling
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  3. Hongfei Cen
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  4. Wenfu Xu
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  5. Kee Chea-su
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  6. Yongjin Zhou
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  7. Lei Wang
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Corresponding author

Correspondence to Yongjin Zhou .

Editor information

Editors and Affiliations

  1. Cognitive Science, Xiamen University, Xiamen, People's Republic of China

    Shaozi Li

  2. Human Informatics and Cognitive Sciences, Waseda University Networked Information Systems Lab, Waseda, Japan

    Qun Jin

  3. School of Systems Information Science, Future University Hakodate, Hakodate, Hokkaido, Japan

    Xiaohong Jiang

  4. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

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Chen, B. et al. (2014). Image Enhancement Methods for a Customized Videokeratography System Designed for Animals with Small Eyes. In: Li, S., Jin, Q., Jiang, X., Park, J. (eds) Frontier and Future Development of Information Technology in Medicine and Education. Lecture Notes in Electrical Engineering, vol 269. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7618-0_98

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  • DOI: https://doi.org/10.1007/978-94-007-7618-0_98

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7617-3

  • Online ISBN: 978-94-007-7618-0

  • eBook Packages: EngineeringEngineering (R0)

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