基于凹点搜索的重叠果实定位检测算法研究
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国家高技术研究发展计划(863计划)资助项目(2006AA10Z259)


Detection and Location Algorithm for Overlapped Fruits Based on Concave Spots Searching
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    摘要:

    为了能够快速准确地计算出生长状态为靠拢或重叠的成熟类圆果实的形心坐标和半径,提出了一种基于凹点搜索的快速定位和检测重叠果实目标的方法。利用色调分量的统计规律实现背景分离,采用链码跟踪法获得单像素果实轮廓,并按步长获取边缘特征点;然后利用N点方向编码差获取边缘凹点,确定凹点群,根据阈值确定分割凹点;最后利用改进的Hough变换计算出多个重叠桃子的形心坐标和半径。研究结果表明,本文算法速度快,果实正确识别率最高可达90.0%,形心和半径误差均小于7%。

    Abstract:

    In order to calculate centric coordinates and radius of quasicircular ripe fruits whose growing state was approached or overlapped, a kind of fast location and detection method for fruits object based on concave spots searching was proposed. After the object was segmented from background with hue according to statistical law, the freeman chain code algorithm was used to extract onepixel fruit contour, from which the edge character points were abstracted. Then the edge concave spots which were found by direction coding difference of N points were divided into several concave spot groups, and the segmentation concave spots were located by the threshold. At last, the centric coordinates and radius of several overlapped peaches were calculated based on optimized circular Hough transform. The research results showed that the proposed method had rapid speed, the highest obtainable right recognition rate was 90.0%, and the error rate of centric points and radius was below 7%. 

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谢忠红,姬长英,郭小清,朱淑鑫.基于凹点搜索的重叠果实定位检测算法研究[J].农业机械学报,2011,42(12):191-196.

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  • 在线发布日期: 2011-12-19
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