基于点云边缘平滑和生物特征的鸡只体尺估测

S828; [目的]针对使用深度相机的鸡只体尺估测中,鸡只点云边缘抖动、羽毛冗余、特征点提取难的问题,本文提出一种结合点云边缘平滑和基于生物特征的特征点提取方法用于鸡只多部位体尺估测.[方法]首先,通过直通滤波、统计滤波等方法对点云进行预处理,减少背景和噪点对目标的影响;其次,通过点云的空间变化约束边缘,采用连续多帧序列变化平滑边缘,减少边缘抖动对体尺测点提取的干扰;再次,对处理后的点云进行生物特征分析,结合基于邻域分析的边缘算法,融合RGB图像采用Canny边缘检测、霍夫变换等方法提取特征点;最后,依据特征点估测胸宽、半潜水长和胫长体尺.[结果]试验结果表明,估测的胸宽平均误差为 6.64％...

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Published in华南农业大学学报 Vol. 44; no. 4; pp. 619 - 627
Main Authors 吕恩利, 曾伯阳, 曾志雄, 彭玉平, 何欣源, 谢伯铭, 刘妍华
Format Journal Article
LanguageChinese
Published 岭南现代农业科学与技术广东省实验室茂名分中心,广东茂名525000%华南农业大学工程学院,广东广州510642 01.07.2023
华南农业大学工程学院,广东广州510642
Subjects
鸡
边缘平滑
生物特征
点云
体尺
Online AccessGet full text
ISSN1001-411X
DOI10.7671/j.issn.1001-411X.202206041

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Abstract S828; [目的]针对使用深度相机的鸡只体尺估测中,鸡只点云边缘抖动、羽毛冗余、特征点提取难的问题,本文提出一种结合点云边缘平滑和基于生物特征的特征点提取方法用于鸡只多部位体尺估测.[方法]首先,通过直通滤波、统计滤波等方法对点云进行预处理,减少背景和噪点对目标的影响;其次,通过点云的空间变化约束边缘,采用连续多帧序列变化平滑边缘,减少边缘抖动对体尺测点提取的干扰;再次,对处理后的点云进行生物特征分析,结合基于邻域分析的边缘算法,融合RGB图像采用Canny边缘检测、霍夫变换等方法提取特征点;最后,依据特征点估测胸宽、半潜水长和胫长体尺.[结果]试验结果表明,估测的胸宽平均误差为 6.64％,胫长平均误差为 5.93％,半潜水长平均误差为 3.34％,平均每帧图像计算体尺耗时 8.8 s.[结论]本文算法可为鸡只体尺测量提供技术参考.
AbstractList S828; [目的]针对使用深度相机的鸡只体尺估测中,鸡只点云边缘抖动、羽毛冗余、特征点提取难的问题,本文提出一种结合点云边缘平滑和基于生物特征的特征点提取方法用于鸡只多部位体尺估测.[方法]首先,通过直通滤波、统计滤波等方法对点云进行预处理,减少背景和噪点对目标的影响;其次,通过点云的空间变化约束边缘,采用连续多帧序列变化平滑边缘,减少边缘抖动对体尺测点提取的干扰;再次,对处理后的点云进行生物特征分析,结合基于邻域分析的边缘算法,融合RGB图像采用Canny边缘检测、霍夫变换等方法提取特征点;最后,依据特征点估测胸宽、半潜水长和胫长体尺.[结果]试验结果表明,估测的胸宽平均误差为 6.64％,胫长平均误差为 5.93％,半潜水长平均误差为 3.34％,平均每帧图像计算体尺耗时 8.8 s.[结论]本文算法可为鸡只体尺测量提供技术参考.
Author 吕恩利
彭玉平
曾志雄
何欣源
刘妍华
谢伯铭
曾伯阳
AuthorAffiliation 华南农业大学工程学院,广东广州510642;岭南现代农业科学与技术广东省实验室茂名分中心,广东茂名525000%华南农业大学工程学院,广东广州510642
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Author_FL LIU Yanhua
ZENG Boyang
Lü Enli
HE Xinyuan
XIE Boming
PENG Yuping
ZENG Zhixiong
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边缘平滑
生物特征
点云
体尺
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Title 基于点云边缘平滑和生物特征的鸡只体尺估测
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