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Computer-Aided Visual Function Assessment Using Subjective Image Quality Evaluation Metrics

  • Haoting Liu
  • Beibei Yan
  • Ming Lv
  • Junlong Wang
  • Xuefeng Wang
  • Wei Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 456)

Abstract

A new computer-aided visual function assessment method is proposed. In contrast to the traditional methods, our method can realize an elaborated subjective state analysis of visual function. The subjective image quality evaluation metrics (IQEMs) are utilized to implement the visual function assessment, and they include the image brightness, the image brightness uniformity, the colour image contrast, the image edge blur, the image colour difference, the image noise, the image saturation, and the integrated evaluation. An ergonomic experimental software is developed, and the typical experimental datasets are also built. After the implementation of the visual function assessment experiment, some statistic features of IQEMs can be calculated. By developing the proposed visual function evaluation technique, it can be used for the disease diagnosis and healing.

Keywords

Visual function Assessment system Image quality evaluation Ergonomic experiment Statistic feature 

Notes

Acknowledgements

This work is supported by the National Nature Science Foundation of China under Grant No. 61501016.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Haoting Liu
    • 1
  • Beibei Yan
    • 1
  • Ming Lv
    • 2
  • Junlong Wang
    • 1
  • Xuefeng Wang
    • 1
  • Wei Wang
    • 1
  1. 1.Beijing Institute of Aerospace Control DeviceBeijingChina
  2. 2.General Hospital of the Chinese People’s Armed Police ForcesBeijingChina

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