会议专题

Application of Support Vector Machine to Apple Recognition using in Apple Harvesting Robot

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. At first, vector median filter is used to remove the color images noise of apple fruit. Secondly, segmentation of the images based on region growing method and color properties is done. Then, color properties and shape properties of color image are extracted, and classification method of SVM for recognition of apple fruit is used. Experimental results indicate that the classification performance of support vector machine is better than that of neural networks. Recognition rate of apple fruit based on SVM of color and shape properties is higher than that of only using the color or shape properties.

Jin-jing Wang De-an Zhao Wei Ji Jun-jun Tu Ying Zhang

School of Electrical and Information Engineering,Jiangsu University,Zhenjiang 212013,China

国际会议

2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)

珠海、澳门

英文

1110-1115

2009-06-22(万方平台首次上网日期,不代表论文的发表时间)