食品科学2016，Vol.37Issue(18)：244-249,6.DOI:10.7506/spkx1002-6630-201618039
激光散射图像检测桃果实货架期的食用价值
An Approach for Monitoring Food Value of Peach during Shelf Life by Laser Backscattering Imaging
摘要
Abstract
This study developed a nondestructive test method based on laser backscattering image to monitor the food value of‘Xiacui’ peach during shelf life. Classification criteria of food value for‘Xiacui’ peach were established based on sensory score. By detecting the changes in hardness, soluble solids content (SSC) and titratable acid for each peach, this classification method was proved to be credible. Moreover, a semiconductor laser generator with 650 nm wavelength and 20 mW power was used to build laser speckle measurement device. Laser backscattering images were captured and analyzed to extractcolor (R, G, B, H, S, Iand each standard deviation) and texture parameters (pixel area, average gray value, standard deviation, smoothness, third-order moments, consistency and entropy). The changes in pixel area,R,G,B, consistency and entropy were correlated with the food value of‘Xiacui’ peach. Finally, these six characteristic parameters were chosen as input to develop a support vector classification (SVC) model with overall training and testing classification accuracy of 95.0% and 92.5%, respectively. Our findings suggest that laser backscattering imaging can be useful to non-destructively detect the food value of‘Xiacui’peach during shelf life.关键词
激光散射图像/桃/食用价值/检测Key words
laser backscattering imaging/peach/food value/monitoring分类
轻工纺织引用本文复制引用
徐苗,孙柯,王卓,屠康,潘磊庆,彭菁..激光散射图像检测桃果实货架期的食用价值[J].食品科学,2016,37(18):244-249,6.基金项目
公益性行业（农业）科研专项（201303088）；“十二五”国家科技支撑计划项目（2015BAD19B03）；江苏省优势学科建设项目；国家自然科学基金面上项目 （）
