CAJ | 학술논문

目的:为改善经典活动轮廓模型的缺陷.方法:本文提出一种新的基于贪婪算法的活动轮廓模型,对其内部能量中加入轮廓平均长度项的控制,外部能量中加入梯度方向势能,并提出区域能量在贪婪算法中的快速求解方法.另外采用动态调整蛇点的算法,使蛇点数目能够自适应地变化.结果:通过与传统的GVF算法分割结果比较,本文的分割效果较理想.结论:说明该方法分割准确性高并且对于用户的初始轮廓选择要求不高,具有一定的实用价值.
목적:위개선경전활동륜곽모형적결함.방법:본문제출일충신적기우탐람산법적활동륜곽모형,대기내부능량중가입륜곽평균장도항적공제,외부능량중가입제도방향세능,병제출구역능량재탐람산법중적쾌속구해방법.령외채용동태조정사점적산법,사사점수목능구자괄응지변화.결과:통과여전통적GVF산법분할결과비교,본문적분할효과교이상.결론:설명해방법분할준학성고병차대우용호적초시륜곽선택요구불고,구유일정적실용개치.
Objective:For improving the imperfection of the Active contour model.Methods:This paper puts forward a new active contour model based on the greedy algorithm.The average contour length term is added into the internal energy of the model.The gradient directional energy is introduced to the external energy of the model.A fast algorithm is introduced to solve the minimum of region energy.The algorithm of add or delete snaxel also adopted in this paper.Segmentation of the MRI brain tumor are studied in the experiments.Results:Comparing to the manual segmentation and the GVF segmentation,the method is better.Conclusion:The results of experiments indicate that the model is none sensitive to initial contour.So this algorithm is practical.