文献类型：期刊文献

中文题名：基于彩色图像的柑橘糖度无损分析

英文题名：Orange Brix' s Nondestructive Analysis Based on Color Image

作者：王雪峰[1] 李晓冬[1] 平藤雅之[2]

第一作者：王雪峰

机构：[1]中国林业科学研究院资源信息研究所;[2]日本北海道农业研究中心

年份：2013

卷号：49

期号：10

起止页码：88-92

中文期刊名：林业科学

外文期刊名：Scientia Silvae Sinicae

收录：CSTPCD;;Scopus;北大核心:【北大核心2011】；CSCD:【CSCD2013_2014】；

基金：948项目(2011-4-67);日本学术振兴会资助项目(2007-2009)

语种：中文

中文关键词：柑橘;糖度;图像分析;无损测量

外文关键词：orange; brix; image analysis; nondestructive measurement

分类号：S759.8

摘要：以柑橘为例,从图像分析角度研究前景图像的分割提取算法以及其与糖度的关系,把基于确定指数阈值的相关分析法引入到图像分割中,实现对不同性质图像的较为准确分割。结果表明:柑橘内部的糖度含量与其外在的某些彩色图像参数之间存在某种明显的依附关系,用双指数方程能够较好地模拟柑橘彩色图像G分量亮度平均值随糖度的变化趋势。在不需要额外增加光源的情况下,仅根据可见光波段的彩色图像无损获取柑橘糖度含量数值是可能的。
Taking orange as example,this article does some research on image foreground segmentation algorithm and the relationship between brix and the images. Correlation analysis method based on coefficient of determination is introduced into image segmentation. And more accurate segmentation results of different images were obtained using this method. The research result shows that there is a close relationship between orange brix and its color image＇s external parameters and the variation tendency of the average G intensity according to the change of brix can be well simulated using double exponential equation. It also shows that in the case of no additional light source,it is possible to know orange brix nondestructively based only on its visible waveband color image.