The Apple Recognition based on Support Vector Machine Using in Apple Harvesting Robot

摘要：

In the robot vision system of the apple harvesting robot, the key is to recognize and locate the apple. To solve recognition questions such as high error rate, too much calculation and time consuming, a new recognizing method, Support Vector Machine (SVM) is applied to improve recognition accuracy and efficiency. Segmentation of the images based on seeded region growing method and color properties is done. Color properties and shape properties are extracted for the recognition of apple images based on SVM. Experimental results indicate that the classification performance of SVM is better than that of neural networks. The RBF SVM function based on color and shape properties is the best for apple recognition.

关键词： robot vision Support Vector Machine(SVM) recognition apple

作者: WANG Jin-jing ZHAO De-an

作者单位: School of Electrical and Information Engineering,Jiangsu University, Zhenjiang, Jiangsu 212013, China

会议类型: 国际会议

会议名称: 2008 International Conference on IAEA(2008农业信息化、自动化与电气化国际会议)

会议地点: 镇江

会议语种:英文

页码: 544-548

在线出版日期: 2008-11-01（万方平台首次上网日期，不代表论文的发表时间）