Earticle

초록

영어

Iris diagnosis based on the color and texture information is one of a novel approach which can represent the current state of a certain organ inside body or the health condition of a person. In analysis of the iris images, there are critical image artifacts which can prevent of use interpretation of the iris textures on images. Here, we developed the iris diagnosis system based on a hand-held typed imaging probe which consists of a single camera sensor module with 8M pixels, two pairs of 400~700 nm LED, and a guide beam. Two original images with different light noise pattern were successively acquired in turns, and the light noise-free image was finally reconstructed and demonstrated by the proposed artifact removal approach.

목차

Abstract
1. Introduction
2. Experimental setup
3. Results & discussion
4. Conclusion
Acknowledgement
References

키워드

저자

• Jeong-lae Kim [ Dept. of Biomedical Engineering, Eulji University, Seongnam, Korea ]
• Soon Bae Kim [ Dept. of Biomedical Engineering, Eulji University, Seongnam, Korea ]
• Hae Ri Jung [ Dept. of Biomedical Engineering, Eulji University, Seongnam, Korea ]
• Woo-cheol Lee [ Dept. of Biomedical Engineering, Eulji University, Seongnam, Korea ]
• Hyun-Woo Jeong [ Dept. of Biomedical Engineering, Eulji University, Seongnam, Korea ] Corresponding author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  The International Journal of Advanced Smart Convergence

• 간기

  계간

• pISSN

  2288-2847

• eISSN

  2288-2855

• 수록기간

  2012~2025

• 십진분류

  KDC 326 DDC 380