基于小波分析和绩效学习机图像分类算法的机器人导航视觉系统设计  

Design of the Intelligent Robot Navigation Vision System Based on Wavelet Analysis and Performance Learning Machine Image Classification Algorithm

作　　者：康丽军[1] 高茜 KANG Lijun;GAO Qian(Computer Science and Engineering Department,Taiyuan University,Taiyuan 030032,China;School of Electronic Science and Engineering,Nanjing University,Nanjing 210046,China)

机构地区：[1]太原学院计算机工程系,山西太原030032 [2]南京大学电子科学与工程学院,江苏南京210046

出　　处：《软件工程》2017年第12期9-11,共3页Software Engineering

摘　　要：机器人导航视觉系统设计需要建立在完整的算法基础上。本文主要从小波分析与绩效学习机图像分类算法两方面展开研究,提出实现机器人导航视觉系统功能的设计方法。通过小波分析算法来强化机器人绩效学习能力,从而达到导航视觉捕捉效果。As the robot vision system needs to be designed on the basis of the complete algorithm,this study is mainly conducted from the two aspects of wavelet analysis and performance learning machine learning image classification algorithm.The paper proposes the design method to implement the functions of the robot navigation visual system.The robot performance learning ability is reinforced through the wavelet analysis algorithm,so as to achieve the visual navigation capture effect.

关 键 词：小波分析 绩效学习机 图像分类 机器人导航 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]