基于图像轮廓分析的堆叠葡萄果粒尺寸检测  

Overlapped Grapes Berry Size Inspection Based on Image Contour Analysis

作　　者：陈英[1] 李伟[1] 张俊雄[1] 

机构地区：[1]中国农业大学工学院,北京100083

出　　处：《农业机械学报》2011年第8期168-172,121,共6页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金资助项目(31071320);高等学校博士点专项科研基金资助项目(20090008110007)

摘　　要：提出一种堆叠葡萄果粒尺寸检测算法:首先通过8-邻域轮廓跟踪提取果穗轮廓曲线,然后基于改进的曲线旋转和局部极值判断方法搜索曲线上的凹点,从而将曲线分割成分段圆弧以实现果粒的分割和识别,进而采用最小二乘分段曲线拟合计算果粒直径。通过对巨峰葡萄的检测试验表明,该算法对葡萄果穗的果粒正确识别率在35%左右,用于统计葡萄的平均果粒直径,平均误差为0.61 mm,最大误差为1.69 mm,根据果粒大小分级的准确率为72.7%。An algorithm was presented to detect size of berries on grapes bunch.Firstly,the contour curves of the grapes bunch were extracted by contour tracking.Then concave points were detected by rotating the curve continuously and searching local extremum points so that the curves were divided into circular arcs,in which each arc corresponds to one berry of the grapes.Finally,the least-square curve fitting method was applied to calculate the radius of the berries.Experiments of Jufeng grapes showed that by using the presented method,about 35% berries on a grapes bunch could be recognized.In the estimation of average berry radius of a bunch,the average error was 0.61mm,the maximum error was 1.69mm and berry size grading accuracy was 72.7%.

关 键 词：葡萄 果穗 尺寸检测 图像处理 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]