DocumentCode :
3040918
Title :
Image Retrieval Using the Modified Intersecting Cortical Model
Author :
Yuan, Wenjin ; Zhang, Xuming
Author_Institution :
Key Lab. of Image Process. & Intell. Control, Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear :
2011
fDate :
14-17 Dec. 2011
Firstpage :
116
Lastpage :
119
Abstract :
The intersecting cortical model(ICM) is driven from the pulse-coupled neural networks (PCNN), and a lot of works have been done on it. In this paper, we have proposed a method, which is modified from the PCNN, to retrieval the image. This method uses the iteration times of the ICM as the feature, and we do it repeatedly. So we will get the feature vectors and utilize the features to retrieval the image. And the experimental results have proved the effectiveness of the proposed method. While the proposed method shows some advantages like the feature curves are linear and steady.
Keywords :
image retrieval; neural nets; image retrieval; intersecting cortical model; iteration time; pulse-coupled neural network; Computational modeling; Equations; Feature extraction; Firing; Mathematical model; Neurons; Time series analysis; image retrieval; intersecting cortical model; pulse-coupled neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation and Bio-Medical Instrumentation (ICBMI), 2011 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-1-4577-1152-7
Type :
conf
DOI :
10.1109/ICBMI.2011.66
Filename :
6131718
Link To Document :
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