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长春光学精密机械与物... [3]
长春应用化学研究所 [2]
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OAI收割 [9]
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期刊论文 [8]
会议论文 [1]
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2018 [2]
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Stiff micelle-crosslinked hyaluronate hydrogels with low swelling for potential cartilage repair
期刊论文
OAI收割
JOURNAL OF MATERIALS CHEMISTRY B, 2019, 卷号: 7, 期号: 36, 页码: 5490-5501
作者:
Ren, Penggang
;
Zhang, Hua
;
Dai, Zhong
;
Ren, Fang
;
Wu, Yidong
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/12/18
TISSUE-ENGINEERED CARTILAGE
PLURONIC F127 DIACRYLATE
HIGH-STRENGTH
LINKING
FABRICATION
MICROGEL
TOUGH
STAR
Multiple-Step Melting/Irradiation: A Strategy to Fabricate Thermoplastic Polymers with Improved Mechanical Performance
期刊论文
OAI收割
POLYMERS, 2019, 卷号: 11, 期号: 11, 页码: -
作者:
Zhao, JX
;
Wang, JY
;
Ding, XJ
;
Gu, Y
;
Li, YJ
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2020/10/16
POLY(VINYLIDENE FLUORIDE)
CROSS-LINKING
CRYSTALLIZATION
CRYSTALLINITY
BEHAVIOR
POLYMERIZATION
IRRADIATION
THICKNESS
MEMBRANES
STRENGTH
Infrared and visual image fusion using LNSST and an adaptive dual-channel PCNN with triple-linking strength
期刊论文
OAI收割
Neurocomputing, 2018, 卷号: 310, 页码: 135-147
作者:
Cheng, B. Y.
;
Jin, L. X.
;
Li, G. N.
  |  
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2019/09/17
LNSST
ATD-PCNN
Image fusion
Singular value decomposition
Auxiliary
linking strength
Triple-linking strength
sparse representation
shearlet transform
multi-focus
feature-extraction
neural-network
domain
algorithm
decomposition
Computer Science
A novel fusion framework of visible light and infrared images based on singular value decomposition and adaptive DUAL-PCNN in NSST domain
期刊论文
OAI收割
Infrared Physics & Technology, 2018, 卷号: 91, 页码: 153-163
作者:
Cheng, B. Y.
;
Jin, L. X.
;
Li, G. N.
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2019/09/17
NSST
ADS-PCNN
Image fusion
Singular value decomposition
Local
structure information operator
Linking strength
shearlet transform
feature-extraction
nsct domain
algorithm
scheme
Instruments & Instrumentation
Optics
Physics
Bio-based artificial nacre with excellent mechanical and barrier properties realized by a facile in-situ reduction and cross-linking reaction, ACS Nano
期刊论文
OAI收割
ACS Nano, 2016, 卷号: 11, 页码: 325-334
作者:
Kiran Shahzadi, Imran Mohsin, Lin Wu, Xuesong Ge, Yijiun Jiang*, Hui Li, Xindong Mu
;
Xindong Mu,Yijun Jiang
  |  
收藏
  |  
浏览/下载:228/0
  |  
提交时间:2018/01/05
Bio-based
Artificial Nacre
In Situ Reduction And cross-lInkIng
Graphene Oxide
High Strength And Toughness
Effect of fullerene C60 on the melt grafting reaction between multifunctional monomer and polypropylene
期刊论文
OAI收割
journal of applied polymer science, 2013, 卷号: 127, 期号: 2, 页码: 1394-1402
Wan D
;
Xing HP
;
Zhang ZJ
;
Wang YJ
;
Wang L
;
Wang YH
;
Jiang ZW
;
Tang T
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2014/04/16
CHAIN BRANCHED POLYPROPYLENE
GURP-PALMEN-PLOT
STRENGTH POLYPROPYLENE
ISOTACTIC POLYPROPYLENE
MOLECULAR-STRUCTURE
OSCILLATORY SHEAR
EXTRUSION PROCESS
CROSS-LINKING
RHEOLOGY
POLYMERS
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wu Z.-G.
;
Wang M.-J.
;
Han G.-L.
收藏
  |  
浏览/下载:77/0
  |  
提交时间:2013/03/25
Being an efficient method of information fusion
image fusion has been used in many fields such as machine vision
medical diagnosis
military applications and remote sensing.In this paper
Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing
including segmentation
target recognition et al.
and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First
the two original images are decomposed by wavelet transform. Then
based on the PCNN
a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength
so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So
the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment
the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range
which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore
by this algorithm
the threshold adjusting constant is estimated by appointed iteration number. Furthermore
In order to sufficient reflect order of the firing time
the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved
each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules
the experiments upon Multi-focus image are done. Moreover
comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.
Tough and Hydrophilic Photonic Crystals Obtained from Direct UV Irradiation
期刊论文
OAI收割
MACROMOLECULAR RAPID COMMUNICATIONS, 2010, 卷号: 31, 期号: 24, 页码: 2115-2120
作者:
Zhang, Yuqi
;
Hao, Xin
;
Zhou, Jinming
;
Zhang, Youzhuan
;
Wang, Jingxia
  |  
收藏
  |  
浏览/下载:104/0
  |  
提交时间:2019/04/09
Mechanical Strength
Photochemical Cross-linking
Photonic Crystals
Polystyrene
Uv Irradiation
Wettability
Preparation and application of single polyelectrolyte microcapsules possessing tunable autofluorescent properties
期刊论文
OAI收割
colloids and surfaces a-physicochemical and engineering aspects, 2008, 卷号: 329, 期号: 1-2, 页码: 58-66
Wang ZJ
;
Zhu H
;
Li D
;
Yang XR
收藏
  |  
浏览/下载:237/36
  |  
提交时间:2010/04/14
BY-LAYER APPROACH
HOLLOW CAPSULES
CROSS-LINKING
GLUTARALDEHYDE
FABRICATION
ENCAPSULATION
FILMS
TEMPLATE
STRENGTH
SHELLS