전자공학회논문지 (Journal of the Institute of Electronics and Information Engineers)

  • 제52권1호
  • /
  • Pages.102-110
  • /
  • 2015
  • /
  • 2287-5026(pISSN)
  • /
  • 2288-159X(eISSN)
대한전자공학회 (The Institute of Electronics and Information Engineers)
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정합 쌍의 통계적 분석을 이용한 정형/비정형 객체 영상의 적응적 정합 방법

Adaptive Matching Method of Rigid and Deformable Object Image using Statistical Analysis of Matching-pairs

  • 원인수 (인하대학교 전자공학과) ;
  • 양훈준 (인하대학교 전자공학과) ;
  • 장혁 (인하대학교 전자공학과) ;
  • 정동석 (인하대학교 전자공학과)
  • Won, In-Su (Dept. of Electronic Engineering, Inha University) ;
  • Yang, Hun-Jun (Dept. of Electronic Engineering, Inha University) ;
  • Jang, Hyeok (Dept. of Electronic Engineering, Inha University) ;
  • Jeong, Dong-Seok (Dept. of Electronic Engineering, Inha University)
  • 투고 : 2014.07.29
  • 심사 : 2014.12.26
  • 발행 : 2015.01.25
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초록

본 논문은 동일한 특징을 사용하여 정형 객체와 비정형 객체 영상들을 정합할 수 있는 적응형 정합 방법을 제안한다. 이를 위한 방법으로 우선 기하학적 검증으로 두 영상의 정합 여부를 결정하고 정합 정보를 생성한다. 그리고 정합 정보의 통계적 분석을 통해 비정형 정합 쌍과 비정합 정합 쌍을 분류하는 결정 경계를 구한다. 제안된 방법의 성능 평가 결과는 기존의 방법과 비교하였을 때, 복잡도는 낮았으며, 정합 성공률과 정확도는 높아짐을 보여주었다.

In this paper, adaptive matching method using the same features for rigid and deformable object images is proposed. Firstly, we determine whether the two images are matched or not using the geometric verification and generate the matching information. Decision boundary which separates deformable matching-pair from non-matching pair is obtained through statistical analysis of matching information. The experimental result shows that the proposed method lowers the computational complexity and increases the matching accuracy compared to the existing method.

키워드

참고문헌

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피인용 문헌

  1. Adaptive Image Matching Using Discrimination of Deformable Objects vol.8, pp.7, 2016, https://doi.org/10.3390/sym8070068