现代食品科技2017，Vol.33Issue(12)：228-232,144,6.DOI:10.13982/j.mfst.1673-9078.2017.12.034
基于高光谱图像信息的李果实成熟度判别
Discrimination on Maturity of Plums Based on Hyperspectral Imaging Information
摘要
Abstract
In this paper,plum was regarded as the research object,and image informations of different mature degrees of plum fruit (unripe,ripe,mature and overmature) samples were collected based on hyperspectral image.Then the images were treated with median filtering denoising.RGB and HSV color image models were obtained from different mature degrees by Matlab software and average and standard deviation of different components were regarded as the color feature value.RGB,HSV and RGB-HSV color characteristic value were established to identify the plum maturity PLS,and the established models were predicted.The results showed that the accuracy rate of discriminated model based on RGB-HSV color feature value was better than that of RGB and HSV.The accuracy rate of immaturity,instrumental,mature and overmature plum reached 98.35,90.00％,85.85％ and 90.85％,respectively.The results showed that this discriminated model not only simplified but also enhances the discriminated ability of models,and provided the theoretical basis for the nondestructive detection and discrimination of plum maturity.关键词
李果实/成熟度/高光谱/颜色特征/无损Key words
Plum/maturity/hyperspectral imaging/color feature/non destructive引用本文复制引用
李丽丽,王斌,张学豪,张淑娟..基于高光谱图像信息的李果实成熟度判别[J].现代食品科技,2017,33(12):228-232,144,6.基金项目
国家自然科学基金资助项目(31271973) （31271973）
山西省自然科学基金资助项目(2012011030-3) （2012011030-3）
山西农业大学青年科技创新项目(2016005) （2016005）
