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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2002.5
- 수록면
- 1,351 - 1,356 (6page)
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In the present study, a new pattern recognition algorithm was proposed to size spray particles using the
boundary curvature information. Conceptually, this algorithm has an advantage over the others because it can
identify the particle size and shape simultaneously, and also can separate the overlapped particles more
effectively. The curvatures of the boundaries were obtained from the change of the slopes of two neighboring
segments. The algorithm developed in this study was tested by using an artificially prepared image of a group
of spherical particles which were either isolated or overlapped. Particle sizes obtained from the measured
curvatures agreed well with the true values. By detecting the abrupt changes of the curvature along the image
boundary, the element particles could be separated out from their overlapped images successfully.
boundary curvature information. Conceptually, this algorithm has an advantage over the others because it can
identify the particle size and shape simultaneously, and also can separate the overlapped particles more
effectively. The curvatures of the boundaries were obtained from the change of the slopes of two neighboring
segments. The algorithm developed in this study was tested by using an artificially prepared image of a group
of spherical particles which were either isolated or overlapped. Particle sizes obtained from the measured
curvatures agreed well with the true values. By detecting the abrupt changes of the curvature along the image
boundary, the element particles could be separated out from their overlapped images successfully.
목차
Abstract
1. 서론
2. 영상 처리 알고리즘
3. 곡률을 이용한 형상 인식 알고리즘
4. 알고리즘 처리 결과
5. 결론
후기
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UCI(KEPA) : I410-ECN-0101-2009-550-014200766