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| 基于机器视觉的樱桃外径检测 | |
| 引用本文： | 王辉,雷雨春,康峰,王琦,赵博,张勤.基于机器视觉的樱桃外径检测[J].农业机械学报,2012,43(Z1):246-249. |
| 作者姓名： | 王辉 雷雨春 康峰 王琦 赵博 张勤 |
| 作者单位： | 1. 中国农业机械化科学研究院,北京,100083 2. 北京林业大学工学院,北京100083;华盛顿州立大学精细和自动化农业系统中心,华盛顿州99350 3. 华盛顿州立大学精细和自动化农业系统中心,华盛顿州99350 |
| 基金项目： | “十二五”国家科技支撑计划资助项目(2011BAD20B07);国家重点基础研究发展计划（973计划）资助项目(2010CB735707);中国博士后科学基金资助项目（2012M510622） |
| 摘 要： | 樱桃的外径尺寸是樱桃分级的重要参考标准之一.目前对樱桃分级都是人工实现,存在主观性强、劳动强度大、不够准确等缺点.利用机器视觉技术实现对樱桃外径尺寸的检测,包括椭圆拟合、圆拟合和旋转搜索.对18个樱桃外径进行了检测,结果表明:椭圆拟合方法最有效,与手工测量结果相比,其标准偏差为0.48 mm,能够满足实际分级需求. |
| 关 键 词： | 樱桃 机器视觉 外径 椭圆拟合 |
Size Detection for Cherry Fruit Based on Machine Vision |
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| Wang Hui,Lei Yuchun,Kang Feng,Wang Qi,Zhao Bo and Zhang Qin.Size Detection for Cherry Fruit Based on Machine Vision[J].Transactions of the Chinese Society of Agricultural Machinery,2012,43(Z1):246-249. | |
| Authors: | Wang Hui Lei Yuchun Kang Feng Wang Qi Zhao Bo and Zhang Qin |
| Institution: | Chinese Academy of Agricultural Mechanization Sciences;Chinese Academy of Agricultural Mechanization Sciences;Beijing Forestry University;Washington State University;Washington State University;Chinese Academy of Agricultural Mechanization Sciences;Washington State University |
| Abstract: | The size of sweet cherries is an important indicator of ripeness and quality. However, as a manual process heavily relying on individual judgment, the operation is labor intensive and subjective. A machine vision system was developed. Three methods were used to measure cheery size. Tests showed that standard deviation was 0.48mm by using ellipse fitting method. This method was better than others, such as circle fitting method and rotation searching method. |
| Keywords: | Cherry Machine vision Fruit size Ellipse fitting |
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