전자공학회논문지S (Journal of the Korean Institute of Telematics and Electronics S)
- 제34S권8호
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- Pages.84-91
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- 1997
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- 1226-5837(pISSN)
평균 곡률과 가우시안 곡률의 상호 셥동 이완 알고리즘을 이용한 거리 영상의 분할과 분류
Range image segmentation and classiication using cooperative relaxational algorithm between H-K curvatures
초록
The range image is divided into surface regions which are homogeneous in their intrinsic properties. In this paper, we use cooperative relaxational algorithm between curvatures to escape local minima and choose optimal possibility to reserve edge. Cooperative relaxational algorithm between curvatures is relaxation process in which weights of center pixel;s and neighbor pixel's possiblility are determined adaptively by using deviation of curvatures. Experimental resutls show that the proposed method segments and classifies the range images more accurately compared to the other relational algorithms.
키워드