Position: Home > Articles > Fast Algorithm for Major and Minor Axes of Raisins Image
Journal of Anhui Agricultural Sciences
2008,36
(26)
11482-11483+11509
葡萄干图像长短轴快速检测算法
作 者：
刘小英;张健
单 位：
攀枝花学院工程技术学院;攀枝花学院计算机学院
关键词：
长短轴;极惯性矩;形状特征;数值微分法
摘 要：
特征提取是葡萄干等级检测的基础,该文在研究极惯性矩计算长短轴方法的基础上,提出一种利用数值微分法进行长短轴检测的新方法。试验证明,该方法不但能够快速提取长短轴特征,而且能够检测出长短轴位置,且具有旋转不变性。
译 名：
Fast Algorithm for Major and Minor Axes of Raisins Image
作 者：
LIU Xiao-ying et al(Computer College,Panzhihua University,Panzhihua,Sichuan 617000)
关键词：
Major and minor axis;Polar moment of inertia;Shape feature;DDA
摘 要：
Feature extraction was the basis of raisins grade detecting.Based on studying the way of polar moment of inertia,a new method of major and minor axis detecting by DDA was provided.The experimental results showed that the method could not only get the feature parameter rapidly,but also detect the location of major and minor axis,and it had rotational invariance.
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