光照不变性研究及在农业领域中的应用  

The Research of Illumination Invariant and Application in Agriculture Fields

作　　者：黄晓慰[1] 陆丽莉[1] 江朝晖[1] 

机构地区：[1]安徽农业大学信息与计算机学院,合肥230036

出　　处：《农机化研究》2011年第12期43-46,50,共5页Journal of Agricultural Mechanization Research

基　　金：安徽省国际科技合作计划项目(10080703029)

摘　　要：对光照不变性的几种研究方法进行了综述,总结了它们的优缺点及局限性;分析了光照变化在农业领域的重要性。对于在室外作业的农业机器人来说,由于光照条件的变化导致了果实识别误差较大和处理时间长;而在农产品品质检测中,光照条件的变化同样会影响检测结果,使得检测的误差率过高。因此,要消除光照变化的影响,为机器视觉识别奠定良好的基础。The article mainly discusses several methods of the study on the illumination invariance in recent years,and summarizes their advantages and limitations,and then this article analyzes the importance of the illumination in agricultural,and owning to the change of illumination conditions,for the agricultural robot which works outdoor,the identification error of fruit may be bigger and the processing time may be longer;and moreover,the illumination conditions changes also effect the testing results and make the error rate too high in the quality detection of agricultural production.So,in order to lay good foundation for the machine visual identification,the effects of illumination changes must be eliminated.

关 键 词：农业机器人 TOP-HAT变换 分段局部归一化 HSV变换 光照无关图 

分 类 号：S126[农业科学—农业基础科学]