Earticle

초록

영어

Aiming at the MTF evaluation limitations in visible imaging system, this paper introduces the minimum resolvable contrast. On the basis of MRC theoretical, the paper obtains subjective and objective methods of MRC measurement. Then MRC measurement based on neural network is put forward, which does not depend on subjective judgment of person. BP neural network is established and trained. Therefore, the network can replace human eyes to judge test patterns with different spatial frequencies and contrasts. Sony camera with 500 megapixels is selected in the experiment. Results show that MRC values of the objective measurement at all frequencies are less than those of the subjective measurement. The MRC Measurement has good stability.

목차

Abstract
 1. Introduction
 2. Theory of Measuring MRC
  2.1. Principle
  2.2. Method of Measuring MRC
 3. MRC measurement by Neural Network
  3.1. Neural Network
  3.2. BP Neural Network Model
  3.3. Image Processing
  3.4. Feature Extraction
  3.5. Image of MRC Recognition
 4. Measurement Experiment and Results
 5. Conclusions
 Acknowledgements
 References

키워드

저자

• Wang Yun [ School of Electrical and Electronic Engineering Harbin University of Science &Technology Harbin, China ]
• Li Wenjuan [ School of Electrical and Electronic Engineering Harbin University of Science &Technology Harbin, China ]
• Liu Jie [ School of Electrical and Electronic Engineering Harbin University of Science &Technology Harbin, China ]
• Yu Yong [ School of Electrical and Electronic Engineering Harbin University of Science &Technology Harbin, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605