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用活动边界模型精确检测果实表面缺陷
引用本文:何东健,耿楠,党革荣,龙满生,宁纪锋.用活动边界模型精确检测果实表面缺陷[J].农业工程学报,2001,17(5):159-162.
作者姓名:何东健  耿楠  党革荣  龙满生  宁纪锋
作者单位:西北农林科技大学
摘    要:在利用计算机视觉技术检测果实表面缺陷中,为解决泼水算法分割出的缺陷区域比实际大的问题,探讨了活动边界模型(ACM)的原理和求解方法,改进了活动边界模型,使ACM在开始收缩时位于目标轮廓外侧,且公式能记忆边界的方向,当存在两个相距较近的缺陷时,ACM会收敛于正确的边界。提出插值算法对得到的不连续边界进行插值,从而得到封闭的缺陷边界, 能准确检测果实表面的缺陷边界。

关 键 词:球形果实    缺陷面积    活动边界模型    计算机视觉
文章编号:1002-6819(2001)05-0159-04
收稿时间:2001/3/29 0:00:00
修稿时间:2001年3月29日

Accurate Measurement of Defect Edge by the Active Contour Models
He Dongjian,Geng Nan,Dang Gerong,Long Mansheng and Ning Jifeng.Accurate Measurement of Defect Edge by the Active Contour Models[J].Transactions of the Chinese Society of Agricultural Engineering,2001,17(5):159-162.
Authors:He Dongjian  Geng Nan  Dang Gerong  Long Mansheng and Ning Jifeng
Abstract:In order to solve the problem that the defect area divided by the Flooding Algorithm is larger than the real one, this paper is to discuss the basic principles and settlement methods of the Active Contour Models(ACM). The ACM is improved and can be located outside the target edge. And the formula can memorize the orientation of edge. When two defects are close to each other, the ACM will constringe along the appropriate edge. Interpolation Algorithm is proposed to interpolate on inconstant edge in order to obtain close edge. The results show that using the ACM can make the initial edge gained by the Flooding Algorithm more precise. The organic combination of these two kinds of Algorithms can detect accurately the surface defect edge of apples.
Keywords:spherefruit  defect area  Active Contour Models  computer vision
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