Journal of The Korean Association of Information Education (정보교육학회논문지)

Korea Association of Information Education (한국정보교육학회)
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A Study of Fusion Image System and Simulation based on Mutual Information

상호정보량에 의한 이미지 융합시스템 및 시뮬레이션에 관한 연구

  • Kim, Yonggil (Dept. of Computer Security, Chosun College of Science & Technology) ;
  • Kim, Chul (Dept. of Computer Education, Gwangju National Univ. of Education) ;
  • Moon, Kyungil (Dept. of Computer Engineering, Honam Univ.)
  • 김용길 (조선이공대학교 컴퓨터보안과) ;
  • 김철 (광주교육대학교 컴퓨터교육과) ;
  • 문경일 (호남대학교 컴퓨터공학과)
  • Received : 2015.03.16
  • Accepted : 2015.03.25
  • Published : 2015.03.31
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Abstract

The purpose of image fusion is to combine the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input images. Image fusion techniques can improve the quality and increase the application of these data important applications of the fusion of images include medical imaging, remote sensing, and robotics. In this paper, we suggest a new method to generate a fusion image using the close relation of image features obtained through maximum entropy threshold and mutual information. This method represents a good image registration in case of using a blurring image than other image fusion methods.

융합 이미지 생성의 목적은 여러 입력 이미지에 나타난 주요 시각적인 정보를 결합시켜 하나의 보다 정보적이고 완성적인 출력 이미지를 얻는 데 있다. 현재 이러한 이미지 융합 기술은 영상 의료, 원격 감지, 로봇공학 등의 분야에서 활발하게 연구되고 있다. 본 논문에서는 최대 엔트로피에 의한 임계값 추정과 이를 바탕으로 하는 특징 벡터 추출 및 상호 정보량에 의한 특징 벡터들의 밀접한 관계를 추정하는 방식으로 융합 이미지를 생성하는 하나의 접근방식을 제안한다. 이러한 융합 이미지 생성 방식은 이미지의 전반적인 불확실성을 감소시킨다는 점에서 장점이 있고, 더 나아가서 융합되는 이미지들 가운데 블러링 이미지가 사용되는 경우에 이미지 정합이 다른 기법에 비해 보다 좋은 성능을 가진다는 점이다.

Keywords

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