|
|
|||||||
|
当前位置：
首页»科研成果» 2014
贾坤、李钰溦与合作者在OPTIK发表论文
全球院
Xiangqin Weia b, Kun Jiac, Jinhui Land, Yuwei Lic, Yiliang Zengd, Chunmei Wanga a State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China b University of Chinese Academy of Sciences, Beijing 100049, China c College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China d School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China ABSTRACT Fruit picking robot is required for agricultural automation for fruit harvest, and vision system is the important and crucial composition of a robot system. An automatic extraction method of fruit object under complex agricultural background for vision system in fruit picking robot is presented in this study. The method is based on an improving Otsu threshold algorithm using a new feature in OHTA color space. Color features are extracted in OHTA color space and then used as an input for the Otsu threshold algorithm which calculates the segmentation threshold value automatically. Four kinds of fruit images are selected to validate the automatic extraction method. The fruit objects are automatically extracted with this method and the outputs are presented in binary images. Numerous of experiments show that the automatic extraction method can extract mature fruit from complex agricultural background and the extraction accuracy is more than 95%. The results indicate an effective fruit object extraction method for vision system of fruit picking robot. KEY WORDS: Automatic, Fruit object extraction, Fruit picking robot, Vision system PUBLISHED BY: OPTIK, 2014, 125 (19): 5684-5689 SOURCE: http://www.sciencedirect.com/science/article/pii/S0030402614007426 |
|||||||
| |||||||