정보처리학회논문지D (The KIPS Transactions:PartD)

한국정보처리학회 (Korea Information Processing Society)
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제품 설계 정보 재사용을 위한 그래프 기반의 부품 영상 정보와 설계 정보의 병합

Integration of Component Image Information and Design Information by Graph to Support Product Design Information Reuse

  • 발행 : 2006.12.31
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⟨ 이전 논문 다음 논문 ⟩

초록

최근에는 제품 개발의 효율성 증대를 위해서 다양한 분야의 전문가들이 참여하는 분산된 협업적 개발 환경이 필수적으로 인식되고 있으며 이에 따른 제품 설계 정보의 재사용 문제가 새롭게 부각되고 있다. 본 논문에서는 제품 설계 정보의 재사용을 위해 멀티미디어 기기에서 획득된 제품 영상을 부품 단위로 분할하여 속성 관계 그래프를 생성하고 이를 통해 제품 설계 정보를 검색하는 시스템을 제안한다. 본 논문에서 제안한 시스템은 라벨링 방법으로 제품 영상을 분할하고, 각 분할 영역의 속성과 영역간의 관계를 표현하는 속성 관계 그래프를 생성한다. 속성 관계 그래프는 제품 설계 정보를 추가하여 확장함으로써 영상 검색을 통한 제품 설계 정보의 재사용이 가능하다. 본 시스템의 주요 이점은 다음과 같다. 첫째, 주변 장치로부터 쉽게 획득할 수 있는 멀티미디어 영상을 이용하므로 특정 설계 툴에 종속적이지 않다. 둘째, 비율을 이용한 특징 벡터에 의해 다양한 크기의 유사 부품을 포함하는 영상의 검색이 가능하다. 셋째, 분할된 각 부품의 영역에 대한 다양한 영상 정보와 그들의 관계를 적용하기 때문에 검색 능력이 뛰어나다.

Recently, distributed collaborative development environment has been recognized an alternative environment for product development in which multidisciplinary participants are naturally involving. Reuse of Product design information has long been recognized as one of core requirements for efficient product development. This paper addresses an image-based retrieval system to support product design information reuse. In the system, product images obtained from multi-modal devices are utilized to reuse design information. The proposed system conducts the segmentation of a product image by using a labeling method and generates an attributed relational graph (ARG) that represents properties of segmented regions and their relationships. The generated ARG is extended by integrating corresponding part/assembly information. In this manner, the reuse of assembly design information using a product image has been realized. The main advantages of the presented system are following. First, the system is not dependent to specific design tools, because it utilizes multimedia images that can be obtained easily from peripheral devices. Second ratio-based features extracted from images enable image retrievals that contain various sizes of parts. Third, the system has shown outstanding search performance, because we applied various information of segmented part regions and their relationships between parts.

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