农机化研究2017，Vol.39Issue(5)：32-36,5.
基于计算机视觉技术育肥猪体重分析研究
Study on Weight of Fattening Pigs Based on Computer Vision Technology
摘要
Abstract
In order to solve the problem of estimating the weight of the fattening pigs , the image and quality data of pigs was obtained at different growth stages .The research is based on the computer vision technology , the side image of pig will be treated with a series of measure steps which include the processing of image preprocessing , color characters , threshold segmentation and the processing of image pattern , measuring the side area of pigs after computation .Through the analysis of one dimension body size , side area and weight , it can apply the data fitting and establish mathematical model .The results show that the single factor of the body size is considered only , The correlation is lower between body weight and body size , and its average error is larger .Through the comparison of the stepwise regression method and the MLP neural network model , we find that the correlation of the MLP neural network model is the best .The correlation co-efficient is 0 .993 , and the average relative error is 1 .38%.It can assure the precision of evaluations very well , and pro-vide new method for measuring the weight of pigs .关键词
猪体/图像处理/体重/侧视面积/数据分析Key words
pig/image processing/weight/side area/data analysis分类
农业科技引用本文复制引用
张凯,王春光,刘涛,康飞龙..基于计算机视觉技术育肥猪体重分析研究[J].农机化研究,2017,39(5):32-36,5.基金项目
“十二五”国家科技支撑计划项目 （）
