基于改进主动形状模型的生猪耳部区域检测方法
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国家自然科学基金资助项目(31172243)和高等学校博士学科点专项科研基金资助项目(20103227110007)


Pig Ear Area Detection Based on Adapted Active Shape Model
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    摘要:

    为研究生猪规模养殖中非接触式体温自动筛检方法,以红外热像仪为采集设备,沿侧视角度方向同时采集生猪可见光和红外热图像,经配准、融合获得二者融合图像。在此基础上,提出了一种基于改进主动形状模型的耳部目标区域检测方法。该方法在经典主动形状模型基础上,首先分析生猪耳部轮廓特征对特征点标记方法进行限定;进而结合图像融合中使用的非子采样轮廓变换,以其分解系数作为特征点纹理描述;最后应用骨架端点匹配方法对平均形状初始化的位姿进行改进。应用该方法对50幅测试图像进行实验,重合度大于0.8的检测结果占比达到84%。

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    In order to find the method of auto screening body temperature in pig’s cultivation, the thermal infrared imager was used to acquire the visible light image and infrared thermograph of pig at the same time from side-view. A series of registration and fusion processes were taken for the two kinds of images. A method which was based on improved active shape model (ASM) was proposed to detect the ear area of pig. Firstly, considering the characteristic of the pig ear profile, the marking rules of landmark points were restricted. Furthermore, the non subsampled contour transform (NSCT) coefficients of fusion image were substituted for the normalized first derivatives of profiles to build the gray level appearance model of each landmark. Finally, the process of average shape initialization was adapted based on matching skeleton endpoints. 50 images were tested by using the proposal method. The test result of overlap ratio greater than 0.8 accounted for 84%. The proposal method is significantly valuable on extracting the ear root area from recognized ear contour and developing the system of auto screening body temperature based on infrared thermograph.

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朱伟兴,刘 波,杨建军,马长华.基于改进主动形状模型的生猪耳部区域检测方法[J].农业机械学报,2015,46(3):288-295. Zhu Weixing, Liu Bo, Yang Jianjun, Ma Changhua. Pig Ear Area Detection Based on Adapted Active Shape Model[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(3):288-295

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  • 收稿日期:2014-05-25
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  • 在线发布日期: 2015-03-10
  • 出版日期: 2015-03-10