农机化研究Issue(1)：178-183,6.
面向复杂背景环境目标的快速识别研究
Research on Fast Recognition of Target for Complex Background
摘要
Abstract
Fast recognition of target for complex background was the key technology of the field robot .Take citrus as ex-ample , the recognition method was researched based on color information in the natural environment .First of all , the YCbCr color model is used to analyze the color and grayscale characteristics of the citrus color image .Color target image in different lighting conditions will be segmented by Otsu and FCM segmentation algorithm ;Then, morphological mathe-matics and regional mark eliminate the random noise generated in the segmented;Finally , the convex hull algorithm will extract characteristics of fruit shape ,and convex hull algorithm will determine whether citrus can be picked .500 color cit-rus images are segmented , the results show that the Cr color components and Otsu Combined with FCM algorithm effec-tively solve the segmentation problem under complex natural light; By testing 963 citrus recognition used by the convex hull algorithm ,the rate of overall recognition have achieved 86 .3 %, and the recognition rate of citrus overlapped exceed over 87 .6 percent , this indicated that the shape feature extraction methods based on convex hull algorithm , effectively recognited images of citrus overlapped and blocked and the citrus center of mass coordinates of the target can be quickly and accurately extracted .关键词
机器视觉/复杂背景/柑橘/识别Key words
machine vision/complex background/citrus/recognition/location分类
信息技术与安全科学引用本文复制引用
吴定中,邹湘军,熊俊涛,陈丽娟,彭红星..面向复杂背景环境目标的快速识别研究[J].农机化研究,2014,(1):178-183,6.基金项目
国家自然科学基金项目（31171457，51175389）；教育部博士点基金项目（200805640009）；广东省自然基金项目 （）
