Journal of the Institute of Electronics Engineers of Korea SP (대한전자공학회논문지SP)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Context-free Marker Controlled Watershed Transform for Efficient Multi-object Detection and Segmentation

다중 물체의 효과적 검출과 분할을 위한 문맥자유 마커제어 분수계 변환

  • Seo, Gyeong-Seok (Dept.of Electronics Engineering, Graduate School of Kyungpook National University) ;
  • Jo, Sang-Hyeon (Dept.of Electronics Engineering, Graduate School of Kyungpook National University) ;
  • Choe, Heung-Mun (Dept.of Electronics Engineering, Graduate School of Kyungpook National University) ;
  • Park, Chang-Jun
  • 서경석 (경북대학교 전자·전기공학부) ;
  • 조상현 (경북대학교 전자·전기공학부) ;
  • 최흥문 (경북대학교 전자·전기공학부) ;
  • 박창준 (한국전자통신연구원 영상처리부)
  • Published : 2001.05.01
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Abstract

A high speed context-free marker-controlled and minima imposition-free watershed transform is proposed for efficient multi-object detection and segmentation from a complex background. The context-free markers are extracted from a complex backgrounded multi-object image using a noise tolerant attention operator. These make marker-controlled watershed possible for the over-segmentation reduction without region merging. The proposed method presents a marker-constrained labeling that can speed up the segmentation of a marker-controlled watershed transform by eliminating the necessity of the minima imposition. Simulation results show that the proposed method can efficiently detects and segments multiple objects from a complex background while reducing over- segmentation and the computation time.

본 논문에서는 복잡 배경으로부터 임의의 다중물체를 효과적으로 검출함과 동시에 고속 분할할 수 있는 문맥자유 마커제어 분수계 변환 (context-free marker controlled watershed transform)을 제안하였다. 먼저 잡음에 강건한 주목 연산자 (attention operator)를 써서 복잡 배경 속의 여러 물체 별로 그 위치를 검출하여 문맥자유 마커를 추출하고, 이를 마커로 한정된 레이블링 (marker constrained labeling)을 하여 최소값 부과과정이 필요 없는 문맥자유 마커제어 분수계 변환을 제안함으로써 과분할없이 신속하게 분할할 수 있도록 하였다. 다중 물체가 포함된 복잡 영상에 적용 실험하여, 대상 물체에 대한 사전정보 없이도 과분할과 처리시간을 대폭 줄여 효과적으로 다중 물체를 검출함과 동시에 고속 분할이 가능함을 확인 할 수 있었다.

Keywords

References

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