摘要
预警呼吸急促症状的病猪时,人工连续监控方式存在效率低下问题,为实现自动预警,通过机器视觉方法,捕获猪的脊腹线轮廓,证实自动计算的脊腹线起伏频数和人工计算频数强相关性。通过6个训练有素的人,对10头含有或无呼吸急促症状的猪打分(5分制),并拍摄分辨率为320像素×240像素、猪自由站立在视频窗口中的侧视视频。在Matlab仿真平台,采用图像灰度化、背景减法、脊腹线段提取、脊腹线波动描述子计算后,自动捕获的波动频数和人工计算的相比较,所有测量值的平均相关系数为0.947,猪和视频窗口面积比在0.35～0.75之间时,脊腹线波动识别精度高于85%,且其波动频率与猪的人工呼吸急促症状估分值呈线性正相关。视觉技术用于呼吸急促的病猪预警有应用价值。
Artificial monitoring has low efficiency in early warning of tachypnea pigs on farms. For automatically detecting sick pigs,the pig ridge-abdomen contour was captured by a machine vision,and the strong correlation between the frequency of fluctuating ridge-abdomen contour was confirmed by automatically calculating and the frequency by estimating. Ten selected pigs,the health and the tachypnea,were scored visually by six trained observers （5-point scale）,and then the videos of the side-view pigs which stood still,with resolution of 320 pixels×240 pixels,were recorded. On Matlab simulation platform,recorded videos were split into sequences of gray images. By using subtraction of background,extraction of ridge-abdomen contour and fluctuating ridge-abdomen contour descriptor,the fluctuating frequencies from automatic capture were compared with the ones from manual calculation,and it showed that the mean correlation coefficient of all measurements was 0.947. The recognition precision of fluctuating ridge-abdomen was higher than 85% with the pig-window size ratio of 0.35–0.75,and the positive linear relationship between frequencies of tachypnea pig and the scores from human was validated. Vision techniques have well potential for warning tachypnea pigs.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2011年第1期191-195,共5页
Transactions of the Chinese Society of Agricultural Engineering
基金
江苏大学现代农业装备与技术省部共建教育部重点试验室开放基金资助项目(NZ200709)
镇江市农业科技支撑项目(NY2009009)
关键词
动物
视频处理
频率计算
病猪预警
呼吸急促
脊腹线波动
animals
video signal processing
frequency estimation
warning sick pig
tachypnea
fluctuating ridge-abdomen contour
