农机化研究Issue(12)：81-85,5.
采摘机器人视觉伺服策略研究-基于回归数据挖掘的
Research on Picking Robot Visual Servo Strategy-Based on Regression Data Mining
摘要
Abstract
In order to realize the accurate grasp control of picking robot , realize the function of path recognition and au-tonomous navigation , a robot visual servo control system is proposed based on the regression data mining model .The ro-bot visual servo system first uses the binocular camera to obtain the fruit image , then uses the Laplasse transform and Gauss filtering method to smooth and enhance the image processing , the image edge detection using Canny algorithm to detect and segment processing , complete image preprocessing .Image recognition , the feature extraction of the image , and the use of regression data mining method to test the filtering image , the center position of the fruit image is obtained by calculating the center position of the fruit .The test results can be seen from the test results , the center position of the fruit can be accurately calculated by using the visual servo system of the picking robot .The calculated center position and the measured position are found to be in good agreement with the measured position and location .关键词
采摘机器人/回归算法/数据挖掘/Canny算法/高斯滤波Key words
picking robot/regression algorithm/data mining/canny algorithm/gauss filter分类
农业科技引用本文复制引用
宋家慧,孔令美..采摘机器人视觉伺服策略研究-基于回归数据挖掘的[J].农机化研究,2016,(12):81-85,5.基金项目
广西高校科学技术研究项目 （）
