共 22 条
SOM Segmentation of gray scale images for optical recognition
被引:15
作者:
Lazaro, Jesus
[1
]
Arias, Jagoba
[1
]
Martin, Jose L.
[1
]
Zuloaga, Aitzol
[1
]
Cuadrado, Carlos
[1
]
机构:
[1] Univ Basque Country, Dept Elect & Telecommun, Bilbao 48013, Spain
关键词:
thresholding;
clustering;
self organizing map;
D O I:
10.1016/j.patrec.2006.06.011
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
This paper describes a clustering technique using Self Organizing Maps and a two-dimensional histogram of the image. The two-dimensional histogram is found using the pixel value and the mean in the neighborhood. This histogram is fed to a self organizing map that divides the histogram into regions. Carefully selecting the number of regions, a scheme that allows an optimum optical recognition of texts can be found. The algorithm is specially suited for optical recognition application where a very high degree of confidence is needed. As an example application, the algorithm has been tested in a voting application, where a high degree of precision is required. Furthermore, the algorithm can be extended to any other thresholding or clustering applications. (c) 2006 Elsevier B.V. All rights reserved.
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页码:1991 / 1997
页数:7
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