基于激光图像分析的桃货架品质无损检测试验  

Experimental Research of Laser Image Analysis for Peach Quality during Its Shelf Life

作　　者：陈育彦[1] 屠康[1] 任珂[1] 邵兴锋[1] 静玮[1] 

机构地区：[1]南京农业大学食品科技学院

出　　处：《农业机械学报》2007年第3期110-113,94,共5页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家"863"高技术研究发展计划资助项目(项目编号:2002AA248051);江苏省自然科学基金资助项目(项目编号:BK20067072);教育部"新世纪优秀人才支持计划"资助项目(项目编号:NCET050491)

摘　　要：利用波长为650nm,功率为13、25mW的半导体激光分别照射货架期间早熟(霞晖)和中熟(朝晖)2个品种桃的表面,通过计算机视觉系统获取图像,并对图像进行处理,得到图像S1和S2及其像素面积,然后对各种所设参数(AS1、AS2、AS1-AS2、AS1/AS2)和桃的各种品质指标进行分析。结果表明:图像参数AS1-AS2与最大破坏力F、果面底色色度a*、果面底色色调角H°和桃果实固酸比SSC/TA之间有较好的相关性,结果验证了激光在水果品质无损检测中的可行性。In this paper, semiconductor lasers with wavelength of 650 nm,powers of 13 and 25 mW, respectively, were used as light source to illuminate the surface of peaches （early harvested one, Xiahui and middle-late harvested one, Zhaohui） during their shelf life. The images gained by the computer vision were pre-treated to get area S1 and S2 and then the captured images were analyzed. The relationships between the image parameters and the correlation coefficients between qualities parameters of peaches were investigated. We found that the parameter AS1--AS2 had a better correlation with the maximum puncturing force, CIE α , hue angle H° and SSC/ TA. The results proved the possibility of non-destructive detection of peach quality by using laser instrument.

关 键 词：桃 无损检测 激光 计算机视觉 

分 类 号：S123[农业科学—农业基础科学] TP391.41[自动化与计算机技术—计算机应用技术]