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题名: A New Automatic Parameter Setting Method of a Simplified PCNN for Image Segmentation
作者: Chen, Y; Park, SK; Ma, Y; Ala, R
收录类别: SCIE ; EI ; PubMed ; MEDLINE
出版日期: 2011-06
刊名: IEEE TRANSACTIONS ON NEURAL NETWORKS
卷号: 22, 期号:6, 页码:880-892
出版者: IEEE
出版地: PISCATAWAY
英文摘要: An automatic parameter setting method of a simplified pulse coupled neural network (SPCNN) is proposed here. Our method successfully determines all the adjustable parameters in SPCNN and does not need any training and trials as required by previous methods. In order to achieve this goal, we try to derive the general formulae of dynamic threshold and internal activity of the SPCNN according to the dynamic properties of neurons, and then deduce the sub-intensity range expression of each segment based on the general formulae. Besides, we extract information from an input image, such as the standard deviation and the optimal histogram threshold of the image, and attempt to build a direct relation between the dynamic properties of neurons and the static properties of each input image. Finally, the experimental segmentation results of the gray natural images from the Berkeley Segmentation Dataset, rather than synthetic images, prove the validity and efficiency of our proposed automatic parameter setting method of SPCNN.
关键词: Automatic parameter setting ; dynamic property ; general formulae ; image segmentation ; optimal histogram threshold ; simplified pulse coupled neural network ; standard deviation ; static property ; sub-intensity range
作者部门: [Chen, Yuli ; Ma, Yide] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Gansu, Peoples R China ; [Chen, Yuli ; Park, Sung-Kee ; Ala, Rajeshkanna] Korea Inst Sci & Technol, Ctr Cognit Robot Res, Robot Syst Div, Seoul 136791, South Korea
通讯作者: Chen, Y (reprint author), Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Gansu, Peoples R China.
学科分类: Computer Science; Engineering
文章类型: Article
所属项目编号: National Science Foundation of China [60872109] ; Korea Institute of Science and Technology
所属项目名称: 国家自然科学基金项目
项目资助者: NSFC
语种: 英语
DOI: 10.1109/TNN.2011.2128880
ISSN号: 1045-9227
WOS记录号: WOS:000291355700005
EI记录号: 20112314042531
PM记录号: 21550882
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内容类型: 期刊论文
URI标识: http://ir.lzu.edu.cn/handle/262010/116184
Appears in Collections:信息科学与工程学院_期刊论文

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Recommended Citation:
Chen, Y,Park, SK,Ma, Y,et al. A New Automatic Parameter Setting Method of a Simplified PCNN for Image Segmentation[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS,2011,22(6):880-892.
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