当前位置: 首页 > 文章 > 奶牛形体图像处理中尺度不变特征变换特征点检测与匹配策略的应用 安徽农业大学学报 2010,37 (3) 207-211
Position: Home > Articles > Application of feature point detection and matching using scale invariant feature transform method in the breeding cow conformation image processing Journal of Anhui Agricultural University 2010,37 (3) 207-211

奶牛形体图像处理中尺度不变特征变换特征点检测与匹配策略的应用

作  者:
王立中;麻硕士;薛河儒;侯振杰
单  位:
内蒙古农业大学计算机与信息工程学院;内蒙古农业大学职业技术学院;内蒙古农业大学机电工程学院
关键词:
奶牛体型;特征点检测;SIFT算法
摘  要:
针对奶牛形体图像,分析尺度不变特征变换特征点检测与匹配算法的应用特点,提出一种全自动图像格式转换,尺寸调整,特征点检测,特征点匹配,数据存储策略。结果表明,该策略定位特征点精确,数据有效性强,匹配结果准确。
译  名:
Application of feature point detection and matching using scale invariant feature transform method in the breeding cow conformation image processing
作  者:
WANG Li-zhong1,3,MA Shuo-shi2,XUE He-ru3,HOU Zhen-jie3(1.Vacational and Technical College,Inner Mongolia Agricultural University,Baotou 014100; 2.School of Mechanical and Electrical Engineering,Inner Mongolia Agricultural University,Hohhot 010018;3.School of Computer and Information Engineering,Inner Mongolia Agricultural University,Hohhot 010018)
关键词:
cow conformation;feature point detection;SIFT algorithm
摘  要:
A kind of method aimed at breeding cow conformation image is proposed by analyzing the application characteristics of scale invariant feature transform(SIFT) feature point detection and matching algorithm,which functions include transforming format,adjusting dimension,detecting feature points,matching feature points and storing data,etc.Experimental results demonstrate that this method has a good performance of locating feature points accurately,strong data validity,and matching feature points exactly.

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