基于跨视角机器视觉的羊体尺测量及形态评价研究

项目名称： 基于跨视角机器视觉的羊体尺测量及形态评价研究

项目编号： No.61461042

项目类型： 地区科学基金项目

立项/批准年度： 2015

项目学科： 无线电电子学、电信技术

项目作者： 张丽娜

作者单位： 内蒙古师范大学

项目金额： 45万元

中文摘要： 内蒙古及周边西部地区是我国养羊业的主产区，羊的优良品种并正常发育对养羊业至关重要。在研究和分析羊的生长发育特性、生产性能及其遗传特性时常常需要检测羊的多项体尺参数，并作出评价。但目前这项工作大都是人工完成的，不但一人难以完成、不准确，而且也不利于防疫。本项目通过基于无线传感网络的远程网络化视觉监测系统采集羊的体貌图像（俯视图、侧视图），对不同性别、不同月龄、不同饲喂情景下的苏尼特羊的体尺信息进行无接触测量，并对空间体尺参数做多源数据融合；根据体尺数据参照体重信息做关联分析、选择特征参量，从而评价羊的体尺生长特性；基于统计分析方法及神经网络方法对体尺数据做深度数据挖掘，从而给出基于体尺参数的羊体貌特征评价，为羊的选育改良、饲养等提供理论基础，其研究成果也可推广到养牛等其他行业，具有普遍意义。

中文关键词： 多源数据融合；关联分析；特征选择；数据挖掘

英文摘要： Inner Mongolia and the surrounding western area is the main producing areas of sheep industry, and the sheep varieties is essential for the normal development of the sheep industry. the research and analysis of growth characteristics of sheep, were often required a number of body size parameter to detection performance and to evaluate their genetic characteristics. But this work is mostly done manually, only one person is difficult to complete accurate measurement, and prevent infectious diseases. In the project, first, a remote networking environment monitoring system for livestock based on WSN (wireless sensor networks) was designed, and CCD cameras as the image acquisition device was used to acquire the top view image and side view image of the sheep. then the body sizes of Sunit sheep were non-contact acquired in different gender, different age, and different fed scenarios。For the surface body size, such as heart girth, multi-source data fusion was done. Following,correlation analysis was done based on body sizes and body weigh to select the characteristic parameters,and to estimate the growth characteristics of the sheep. Finally, based on statistical analysis and neural network approach to body size data do depth data mining, evaluation of physical characteristics was done used the method of multivariate statistical analyses and neural network network. Overall, this project can provide a theoretical basis for the improvement of sheep breeding, feeding, and the research results can also be extended to other industries such as cattle. The project has universal significance.

英文关键词： Multi-source Data Fusion;Correlation Analysis;Feature Selection;Data Mining