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题名: Application of heterogeneous pulse coupled neural network in image quantization
作者: Huang, Yi; Ma, Yide; Li, Shouliang; Zhan, K(绽琨)
收录类别: EI
出版日期: 2016-11-01
刊名: Journal of Electronic Imaging
卷号: 25, 期号:6
出版者: VSP BV
出版地: LEIDEN
英文摘要: On the basis of the different strengths of synaptic connections between actual neurons, this paper proposes a heterogeneous pulse coupled neural network (HPCNN) algorithm to perform quantization on images. HPCNNs are developed from traditional pulse coupled neural network (PCNN) models, which have different parameters corresponding to different image regions. This allows pixels of different gray levels to be classified broadly into two categories: background regional and object regional. Moreover, an HPCNN also satisfies human visual characteristics. The parameters of the HPCNN model are calculated automatically according to these categories, and quantized results will be optimal and more suitable for humans to observe. At the same time, the experimental results of natural images from the standard image library show the validity and efficiency of our proposed quantization method. © 2016 SPIE and IS and T.
关键词: Neural networks ; Object recognition ; Heterogeneous pulse ; Human visual characteristics ; Human Visual System ; Image quantization ; Natural images ; Pulse coupled neural network models ; Standard images ; Synaptic connections
作者部门: (1) Lanzhou University, School of Information Science and Engineering, No. 222 Tianshui Road, Chengguan District, Lanzhou ; 730000, China
通讯作者: Huang, Yi (huangy2009@lzu.edu.cn)
文章类型: Article
语种: 英语
DOI: 10.1117/1.JEI.25.6.061603
ISSN号: 1017-9909
EI记录号: 20163402733069
IR记录号: 20163402733069
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内容类型: 期刊论文
URI标识: http://ir.lzu.edu.cn/handle/262010/182825
Appears in Collections:信息科学与工程学院_期刊论文

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Recommended Citation:
Huang, Yi,Ma, Yide,Li, Shouliang,et al. Application of heterogeneous pulse coupled neural network in image quantization[J]. Journal of Electronic Imaging,2016,25(6).
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