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近色背景中树上绿色苹果识别方法
引用本文:张春龙,张楫,张俊雄,李伟.近色背景中树上绿色苹果识别方法[J].农业机械学报,2014,45(10):277-281.
作者姓名:张春龙  张楫  张俊雄  李伟
作者单位:中国农业大学;卡内基·梅隆大学;中国农业大学;中国农业大学
基金项目:国家高技术研究发展计划(863计划)资助项目(2013AA102406)和国家自然科学基金资助项目(31301232、31101079)
摘    要:为实现大型果园生产中果实产量监控和预测,研究了基于机器视觉的树上绿色苹果识别方法。为彩色相机配备一环形闪光灯用于夜间苹果树的图像采集,设计了以归一化的g分量和HSV颜色空间中H、S分量为特征参数的支持向量机(SVM)分类器和以超绿算子(2G-R-B)为特征的阈值分类器组合而成的混合分类器,实现了绿色苹果在近色背景中的有效识别;针对识别结果中的果实粘连情况,通过计算区域面积以及区域长、短轴之比,识别粘连区域,并对粘连果实区域图像进行欧氏距离变换,进而针对粘连区域距离变换图像采用分水岭算法进行分割,可将大部分粘连果实分开,并最终实现近色背景中绿色苹果的识别与计数。通过对64幅果树图像实验表明,该方法平均识别正确率为89.30%。

关 键 词:绿色苹果  近色背景  机器视觉  支持向量机  分水岭
收稿时间:7/4/2013 12:00:00 AM

Recognition of Green Apple in Similar Backgroud
Institution:China Agricultural University;Carnegie Mellon University;China Agricultural University;China Agricultural University
Abstract:In order to realize the automated estimation of orchard yield, we studied on the recognition method of green apple based on machine vision. An image capturing system composed of a color camera and an active lighting system was used to capture images of apple trees at night. A hybrid classifier including an SVM method based on the advantage of H, S and normalized g and a Super-G method was developed to remove the background. The connected apples were found by the area feature and the ratio of major axis to minor axis of the individual regions. Then we used the Euclidean distance transformation method to generate the distance image of the founded connected apple regions. Finally a watershed method was used to separate the connected apples, and the total number of the apples in image were known. The analysis of experimental results regarding 64 images showed that the average rate of correct recognition was 89.30%.
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