A Method of Fruits Recognition Based on SIFT Characteristics Matching

被引：3
|
作者：
Song Wan-gan [1 ]
Guo Hong-xia [2 ]
Wang Yan [3 ]
机构：
[1] Huaibei Coal Ind Teachers Coll, Sch Comp Sci & Technol, Huaibei 235000, Anhui, Peoples R China
[2] Huaibei Profess & Technol Coll, Common Dept, Huaibei 235000, Peoples R China
[3] Xian Univ Technol, Sch Machinery & Precis Instrument Engn, Xian 710048, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTATIONAL INTELLIGENCE, VOL III, PROCEEDINGS | 2009年
关键词：
Work-piece Recognition; Feature Extraction; Feature Matching; Scale Invariant Feature Transform;
D O I：
10.1109/AICI.2009.484
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
SIFT (Scale Invariant Feature Transform) used in fruits recognition presents a characteristics matching algorithm according to fruits images. The algorithm uses SIFT characteristics as matching feature, then introduces Euclidean distance as the similarity metrics of image matching, and uses a method of setting a threshold value to delete the false matching points. The experimental results prove that the algorithm can effectively solve the problem of fruits recognition and matching with translation, rotation, scaling,and partial occlusion.
引用
收藏
页码：119 / +
页数：2
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