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Literature DB >> 18252547

PCNN models and applications.

Abstract

The pulse coupled neural network (PCNN) models are described. The linking field modulation term is shown to be a universal feature of any biologically grounded dendritic model. Applications and implementations of PCNN's are reviewed. Application based variations and simplifications are summarized. The PCNN image decomposition (factoring) model is described in new detail.

Year: 1999 PMID： 18252547 DOI： 10.1109/72.761706

Source DB: PubMed Journal: IEEE Trans Neural Netw ISSN： 1045-9227

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Cited

12 in total

1. NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency.

Authors: Sudeb Das; Malay Kumar Kundu
Journal: Med Biol Eng Comput Date: 2012-07-24 Impact factor: 2.602

2. Automatic gallbladder and gallstone regions segmentation in ultrasound image.

Authors: Jing Lian; Yide Ma; Yurun Ma; Bin Shi; Jizhao Liu; Zhen Yang; Yanan Guo
Journal: Int J Comput Assist Radiol Surg Date: 2017-01-06 Impact factor: 2.924

3. Improved localization accuracy in stochastic super-resolution fluorescence microscopy by K-factor image deshadowing.

Authors: Tali Ilovitsh; Amihai Meiri; Carl G Ebeling; Rajesh Menon; Jordan M Gerton; Erik M Jorgensen; Zeev Zalevsky
Journal: Biomed Opt Express Date: 2013-12-16 Impact factor: 3.732

4. Automatic cropping of MRI rat brain volumes using pulse coupled neural networks.

Authors: Murali Murugavel; John M Sullivan
Journal: Neuroimage Date: 2008-12-25 Impact factor: 6.556

5. Gyroscope pivot bearing dimension and surface defect detection.

Authors: Wenqian Ge; Huijie Zhao; Xudong Li
Journal: Sensors (Basel) Date: 2011-03-16 Impact factor: 3.576

6. Intelligent foreign particle inspection machine for injection liquid examination based on modified pulse-coupled neural networks.

Authors: Ji Ge; Yaonan Wang; Bowen Zhou; Hui Zhang
Journal: Sensors (Basel) Date: 2009-05-07 Impact factor: 3.576

PCNN models and applications.

1. NSCT-based multimodal medical image fusion using pulse-coupled neural network and modified spatial frequency.

2. Automatic gallbladder and gallstone regions segmentation in ultrasound image.

3. Improved localization accuracy in stochastic super-resolution fluorescence microscopy by K-factor image deshadowing.

4. Automatic cropping of MRI rat brain volumes using pulse coupled neural networks.

5. Gyroscope pivot bearing dimension and surface defect detection.

6. Intelligent foreign particle inspection machine for injection liquid examination based on modified pulse-coupled neural networks.

7. An Automatic Segmentation and Classification Framework Based on PCNN Model for Single Tooth in MicroCT Images.

8. Multi-focus image fusion algorithm based on focus detection in spatial and NSCT domain.

9. Automated vision system for fabric defect inspection using Gabor filters and PCNN.

10. A multi-focus image fusion method via region mosaicking on Laplacian pyramids.