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