最小外接矩形计算方法不仅为进一步研究开发基于图像处理技术的稻米外观品质检测系统打下了基础，而且可用于对其他谷物进行粒型检测。

This method could not only lay a foundation for further developing rice quality detection system by using image processing technology, but also be used to detect the ratio of other grains.

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根据眼睛的构造提出了一种基于最小外接矩形的自定义模板来实现眼睛的最终定位并利用区域质心标定出了眼睛区域的中心位置。

Then this paper proposed a user-defined template based on the minimum enclosing rectangle(MER) to complete the finally orientation, and found the center of the eyes using the area.

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最后对检测出的运动对象利用最小外接矩形框特征匹配，实现对它们的跟踪。

Finally, matching the detected motion objects with the minimal outer rectangle realize the tracking.

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