Machine Vision for Green Citrus Detection in Tree Images
Machine Vision for Green Citrus Detection in Tree Images
复制标题
用于树图像中绿色柑橘检测的机器视觉
DOI：
10.2525/ecb.48.93
复制
发表时间：
2010
期刊：
影响因子：
--
通讯作者：
W. S. Lee
中科院分区：
文献类型：
--
作者：
H. Okamoto;W. S. Lee
本研究的总体目标是开发一种低成本的机器视觉系统，用于检测柑橘树上的绿色果实。由于叶片和果实的颜色相似，利用颜色信息很难将绿色柑橘果实从背景叶片中区分出来。因此，空间特征，如形状和纹理进行了分析。背景提取后，进行边缘检测。然后对边缘图像进行圆模板匹配，检测出绿色水果。检测结果表明，86%的水果被正确检测。
The overall goal of this study was to develop a low-cost machine vision system for detecting green fruit on citrus trees. It is difficult to distinguish green citrus fruit from the background leaves using color information because the leaves and fruits are similar in color. Therefore, spatial characteristics such as shape and texture were analyzed. After background extraction, edge detection was performed. Then, circle-template matching was applied to the edge image to detect green fruits. The detection tests revealed that 86% of the fruit were correctly detected.