A vehicle-logo recognition method based on wavelet transform and invariant moment
被引:0
作者:
Wang Mei
论文数: 0引用数: 0
h-index: 0
机构:
Naval Aeronaut Engn Inst, Yantai 264000, Peoples R ChinaNaval Aeronaut Engn Inst, Yantai 264000, Peoples R China
Wang Mei
[1
]
Qiu Libo
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h-index: 0
机构:
Naval Aeronaut Engn Inst, Yantai 264000, Peoples R ChinaNaval Aeronaut Engn Inst, Yantai 264000, Peoples R China
Qiu Libo
[1
]
Wang Guohong
论文数: 0引用数: 0
h-index: 0
机构:
Naval Aeronaut Engn Inst, Yantai 264000, Peoples R ChinaNaval Aeronaut Engn Inst, Yantai 264000, Peoples R China
Wang Guohong
[1
]
Li Tingjun
论文数: 0引用数: 0
h-index: 0
机构:
Naval Aeronaut Engn Inst, Yantai 264000, Peoples R ChinaNaval Aeronaut Engn Inst, Yantai 264000, Peoples R China
Li Tingjun
[1
]
机构:
[1] Naval Aeronaut Engn Inst, Yantai 264000, Peoples R China
来源:
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE INFORMATION COMPUTING AND AUTOMATION, VOLS 1-3
|
2008年
关键词:
wavelet decomposition;
shape feature;
invariant moment distance;
vehicle-logo recognition;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Shape feature is a useful descriptor for object recognition. Wavelet decomposition is fit for shape feature extraction and image denoising. Then the object recognition can be executed by shape feature invariant moment distance. The experiments results for actual vehicle-logo images taken from traffic stations show that the method is practical and effective.