[1]万仁全,王中任,卢晨鉞,等.快速SURF算法在药瓶塞缺陷检测中的应用[J].机械与电子,2015,(03):39-42.
　WANG Zhongren,WAN Renquan,LU Chengyue,et al.Application Research of Rapid SURF Algorithm on Medicine Bottle Lids Detection[J].Machinery & Electronics,2015,(03):39-42.
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快速SURF算法在药瓶塞缺陷检测中的应用
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2015年03期
页码:
39-42
栏目:
机电一体化技术
出版日期:
2015-03-25

文章信息/Info

Title:
Application Research of Rapid SURF Algorithm on Medicine Bottle Lids Detection
文章编号:
1001-2257(2015)03-0039-04
作者:
万仁全1; 王中任1; 2; 卢晨鉞3; 朱世璋1
(1.湖北文理学院机械与汽车工程学院,湖北 襄阳 441053; 2.汽车零部件制造装备数字化湖北省 协同创新中心,湖北 襄阳 441053; 3.东南大学电子科学与工程学院,江苏 南京 211189)
Author(s):
WANG Zhongren1; WAN Renquan1; LU Chengyue2; ZHU Shizhang1
(1. School of Mechanical and Automotive Engineering,Hubei University of Arts and Science,Xiangyang 441053,China; 2. The Co-innovation Center of Hubei Province of Auto Parts Manufacture Equipment Digitizing,Xiangyang 441053,China; 3. School of Electronic S
关键词:
SURF算法;  阈值分割;  图像匹配;  实时性
Keywords:
speed-up robust feature;  thresholding;  image matching;  real-time
分类号:
TP391
文献标志码:
A
摘要:
针对目前的SURF算法占用内存大和耗时长等缺点,提出一种基于兴趣区域的快速SURF算法。首先对目标图像进行阈值化分割算法进行分割,消除和抑制了图像中背景的无用信息,再利用SURF对分割后的图像进行匹配运算。
Abstract:
Since speed-up robust feature(SURF)algorithm is applied in the process of feature matching and problems of wide rangeof searching,large volumes of data and slowly running occur,a new matching method of SIFT based on region of interest is proposed.In order to improve the performance for speed of algorithm,the image is segmented by threshold value method which eliminates andsuppresses useless information of image background. Then,SURF is used to extract feature points of segmented image and matchelementarily.

参考文献/References:

[1] 贺柏根,朱明.改进的抗全仿射尺度不变特征变换图像匹配算法[J]. 光学精密工程,2011,19(10):2472-2477.
[2] Mikolajczyk K,Tuytelaars T,Schmid C. A comparison of affine region detectors [J].International Journal of Computer Vision,2005,65( 1): 43-72.
[3] Mikolajczyk K,Schmid C. A performance evaluation of local descriptors [J]. IEEE Trans on Pattern Analysis and Machine Intelligence,2005,27( 10): 1615-1630.
[4] 李婕,邓德祥,石文轩,等.一种抗视角变换的SURF匹配算法 [J].计算机应用研究,2012,29(9):3536-3539.
[5] 纪华,吴元昊,孙宏海,等.结合全局信息的SIFT特征匹配算法[J].光学精密工程,2009,17( 2): 439-444.
[6] Bay H,Tuvtellars T,Van G L. SURF: speeded up robust feature [C]//Proc of the 9th European Conference on Computer Vision.Berlin: Springer-Verlag,2006: 404-417.
[7] 赵立荣,朱玮,曹永刚,等.改进的加速鲁棒特征算法在特征匹配中的应用[J].光学精密工程,2013,21(12):3263-3271.
[8] Luo J,Gwun O. A comparison of SIFT,PCA-SIFT and SURF [J]. International Journal of Image Processing(IJIP),2009,3(4):143-152.
[9] 翟优,曾峦,熊伟.不同局部邻域划分加速鲁棒特征描述符的性能分析[J]. 光学精密工程,2013,21(9):2395-2404.

备注/Memo

备注/Memo:
收稿日期:2015-01-04
基金项目:湖北文理学院大学生创新创业训练资助项目(201310519041)
作者简介:万仁全(1990-),男,湖北孝感人,硕士研究生,研究方向为机器视觉; 王中任(1974-),男,湖北黄梅人,博士,副教授,研究方向为智能制造与机器 视觉。
更新日期/Last Update: 2015-03-25