본 논문에서는 컨베이어 벨트상에서 이송되는 대용량 소포영상의 획득과정을 통해 ROI(Region of Interest) 고속추출하기 위한 방법 중에서 소포의 면적을 산출하기 위한 외형 좌표값을 산출하는 방법을 제시한 것이다. 이송하는 과정에서 높이센서의 값과 투입되는 각도에 따라 최장길이가 다르지만 이 값도 산출이 용이하다 이와 같은 정보와 결합하여 소포의 부피를 산출을 위해 사용될 수 있는 소포의 외형 좌표값들의 산출 방법과 활용방법을 제시한 것이다. 초기과정에는 불필요한 영역을 검사하기 위한 조건과 유사한 패턴을 단계적으로 제거하는 방법을 적용하였다. $4,096{\times}4,096$ 이상의 대용량 영상에서 불필요한 영역 제거 시간을 포함하여 평균 30.85msec 이내에 추출이 가능한 방법을 제시한 것이다.
KSP Keywords
Region Of Interest(ROI)
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