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研究生:侯佳伶
研究生(外文):Chia-Ling,Hou
論文名稱:線性矩陣不等式與粒子群最佳演算法基於細胞神經網路應用於灰階影像雜訊之消除
論文名稱(外文):A Hybrid Linear Matrix Inequality and Particle Swarm Optimization Approach for Gray Image Noise Cancellation Based on Cellular Neural Networks
指導教授:蘇德仁蘇德仁引用關係
指導教授(外文):Te-Jen,Su
學位類別:碩士
校院名稱:國立高雄應用科技大學
系所名稱:電子工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2009
畢業學年度:97
語文別:英文
論文頁數:71
中文關鍵詞:細胞神經網路粒子群最佳演算法線性矩陣不等式雜訊消除
外文關鍵詞:Cellular Neural NetworkParticle Swarm OptimizationLinear Matrix InequalityNoise Cancellation
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在本篇論文中,我們使用線性矩陣不等式理論與粒子群體最佳演算法探討細胞神經網路系統。其研究主題包括輸入與回授模板最佳化的參數設計、系統穩定問題,討論細胞神經網路在灰階影像雜訊消除上的應用。基於線性矩陣不等式理論探討系統穩定性,以粒子群最佳演算法求得在穩定條件下模板的最佳參數,將之用來消除受到雜訊污染的灰階影像。最後,本研究將提出實際例子來驗證我們所提出的方法能有效的應用於灰階影像雜訊消除。
In this thesis, the technique of noise cancellation for gray image is presented by employing linear matrix inequality (LMI) and particle swarm optimization (PSO) based on cellular neural networks (CNN). A criterion for global asymptotic stability of CNN is presented via the Lyapunov stability theorem, and the problem of gray image noise cancellation can be characterized in terms of LMIs. By virtue of stability conditions of LMI, the parameters of template are obtained via PSO. Finally, the examples are given to illustrate the effectiveness of the proposed method.
Chapter 1 Introduction----------------------------------------------------- 1
1.1 Background----------------------------------------------------- 1
1.2 Motivation----------------------------------------------------- 2
1.3 Research Methodology----------------------------------------------------- 3
1.4 Overview of the Thesis----------------------------------------------------- 3
Chapter 2 Related Preview-----------------------------------------------------4
2.1 Linear Matrix Inequality--------------------------------------------------------------4
2.2 Lyapunov Stability Theorem---------------------------------------------------------7
2.3 Particle Swarm Optimization--------------------------------------------------------12
2.3.1 Swarm Intelligence in Nature --------------------------------------------------12
2.3.2 Fish Schools and Bird Flocks --------------------------------------------------12
2.3.3 Evolutionary Computation Techniques ---------------------------------------13
2.3.4 Particle Swarm Optimization Techniques ------------------------------------15
Chapter 3 Cellular Neural Networks ----------------------------------------21
3.1 The CNN Array and Equations-------------------------------------------------------22
3.2 The Template Operation---------------------------------------------------------------28
3.2.1 The Feedback Template Operator A(i,j;k,l) -----------------------------------29
3.2.2 The Control Template Operator B(i,j;k,l) -------------------------------------30
3.2.3 Multiple Neighborhood Size CNN---------------------------------------------31
3.3 Analog Cellular Neural Network ----------------------------------------------------33
Chapter 4 CNN Training by Hybrid LMI and PSO-----------------------35
4.1 System Description ------------------------------------------------------------------- 36
4.2 CNN Training by Hybrid LMI and PSO--------------------------------------------42
Chapter 5 Gray Image Noise Cancellation----------------------------------44
5.1 Bipolar Image --------------------------------------------------------------------------45
5.2 Gary-Scale Image----------------------------------------------------------------------48
Chapter 6 Conclusions-----------------------------------------------------------53
References--------------------------------------------------------------------------54
List of Publications---------------------------------------------------------------60
Biography--------------------------------------------------------------------------61
[1].L. O. Chua and L. Yang, “Cellular neural networks: theory”, IEEE Trans. on Circuits and Systems, Oct. 1988, vol. 35, pp. 1257-1272.
[2].L. O. Chua and L. Yang, “Cellular neural networks: applications”, IEEE Trans. on Circuits and Systems, Oct. 1988, vol. 35, pp. 1273-1290.
[3].P. D. Lopez, L. D. Vilarino and D. Cabello, “Design of multilayer discrete time cellular neural networks for image processing tasks based on genetic algorithms”, IEEE International Symposium on Circuits and Systems, May 2000, vol. 4, pp. 133-136.
[4].L. Ming and L. Min, “The robustness design of templates of CNN for detecting inner corners of objects in gray-scale images”, IEEE International Conference on Communications, Circuits and Systems, Jun. 2004, vol. 2, pp. 1090-1093.
[5].R. P. Matei, “Image processing using hysteretic cellular neural networks”, IEEE International Symposium on Circuits and Systems, May 2000, vol. 4, pp. 129-132.
[6].L. O. Chua and T. Roska, “Cellular neural networks and visual computing”, New York: Cambridge University Press, 2002.
[7].X. Liang, W. Tan, Z. Wan and D. Yang, “A novel criterion for glob al asymptotic stability of cellular neural networks with time delays”, Intelligent Control and Automation, 2008 WCICA, 7th World Congress on, Jun. 2008, pp. 4430-4433.
[8].He, Y., Wu M. and J. H. She, “An improved global asymptotic stability criterion for delayed cellular neural networks”, Neural Networks, IEEE Transactions on, Jan. 2006, vol. 17, pp. 250-252.
[9].V. Singh, “Global asymptotic stability of cellular neural networks with unequal delays: LMI approach”, Electronics Letters, Apr. 2004, vol. 40, pp. 548-549.
[10].H. Zhang and Z. Wang, “Global Asymptotic Stability of Delayed Cellular Neural Networks”, Neural Networks, IEEE Transactions on, May 2007, vol. 18, pp. 947-950.
[11].M. Gilli, “A Lyapunov function approach to the study of the stability of cellular neural networks”, IEEE International Symposium on Circuits and Systems, May 1993, vol. 4, pp. 2584-2587.
[12].S. Boyd, L. E. Ghaoui, E. Feron and V. Balakrishnan, “Linear matrix inequalities in system and control theory”, Studies in Applied Mathematics, SIAM, Philadelphia, 1994.
[13].P. Gahinet, A. Nemirovskii, A. Laub and M. Chilali, “LMI Control Toolbox : for Use with MATLAB”, The MATH Works Inc., 1995.
[14].J. Kennedy and R. Eberhart, “Particle swarm optimization”, IEEE International Conference, Dec. 1995, vol. 4, pp. 1942-1948.
[15].M. T. Hagan, H. B. Demuth and M. Beale, “Neural Network Design”, PWS Publishing Company, 1995.
[16].D. S. Horne and J. M. Rodriguez Patino, “Biopolymers at Interfaces”, Malmsten, Marcel Dekker, New York, 2003.
[17].S. P. Bhattacharyya, H. Chapellat and L. H. Keel, “Robust Control-The Parametric Approach”, P.T.R, 1995, pp. 224-225.
[18].J. Kennedy and R. C. Eberhart, “A New Optimizer Using Particle Swarm Theory”, Proceedings of the Sixth International Symposium on Micromachine and Human Science, Nagoya, Japan, 1995, pp. 39-43.
[19].H. Harrer and J. A. Nossek, “Discrete-time Cellular Neural Networks”, Int. J. Circuit Theory Appl., Oct. 1992, vol. 20, pp. 453-467.
[20].F. Heppner and U. Grenander, “A Stochastic Nonlinear Model for Coordinated Bird Flocks”, The Ubiquity of Chaos, AAAS Publications, Washington DC, 1990.
[21].Y. Shi and R. Eberhart, “A Modified Particle Swarm Optimizer”, Proceedings of the 1998 IEEE World Congress on Computational Intelligence, May 1998, pp. 69-73.
[22].Y. Shi and R. Eberhart, “Parameter Selection in Particle Swarm Optimization”, Proceedings of the 7th International Conference on Evolutionary Programming VII, Lecture Notes in Computer Science, 1998, vol. 1447, pp. 591-600.
[23].L. O. Chua and T. Roska, “The CNN Paradigm”, IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, Mar. 1993, vol. 40, pp. 147-156.
[24].L. Personnaz, I. Guyon, and G. Dreyfus, “High-Order Neural Networks: Information Storage Without Errors”, Europhysics. Lett., 1987, vol. 4, pp. 863-867.
[25].I. Guyon, L. Personnaz, J. Nadal and G. Dreyfus, “High-Order Neural Networks For Efficient Associative Memory Design”, Neural Inform. Processing Syst., AIP Conf. Proc., D. Z. Anderson, Ed., Denver, CO, 1987, pp. 233-241.
[26].P. P. Grasse, “La Reconstruction du Nid et les Coordinations Interindividuelles Chez Bellicositermes Natalensis et Cubitermes SP. La Theorie de la Stigmergie: Essai Dinterpretation du Comportement des Termites Constructeurs” , Insectes Sociaux, 1959, vol. 6, pp. 41-81.
[27].P. L. Venetianer, T. Roska and L. O. Chua, “Analogic CNN Algorithms for Some Image Compression, Decompression and Restoration Tasks”, IEEE transactions on circuits and systems I: Fundamental theory and applications, 1995, vol. 42, pp. 278-284.
[28].A. Zarandy, F. Werblin, T. Roska and L. O. Chua, “Novel Types of Analogic CNN Algorithms for Recognizing Bank-Notes”, CNNA-94 Third IEEE International Workshop on Cellular Neural Networks and their Applications, Dec. 1994, pp. 273 - 278.
[29].A. Zarandy, A. Stoffels, T. Roska and L. O. Chua, “Implementation of Binary and Gray-Scale Mathematical on the CNN Universal Machine”, IEEE transactions on circuits and systems I: Fundamental theory and applications, 1998, vol. 45, pp. 163-168.
[30].K. R. Crounse and L. O. Chua, “Methods for Image Processing and Pattern Formation in Cellular Neural Networks: A Tutorial”, IEEE transactions on circuits and systems I: Fundamental theory and applications, Oct. 1995, vol. 42, no. 10, pp. 583-601.
[31].G. Costantini, D. Casali and R. Perfetti, “Cellular neural network template for rotation of grey-scale images”, Electronics Letters, Dec. 2003, vol. 39, pp. 1803-1805.
[32].L. Pham Duc and C. Pham Thuong, “Real-time reconstruction of symmetrical image using Cellular Neural Network”, Control, Automation, Robotics and Vision, 10th International Conference on, Dec. 2008, pp. 1128 -1132.
[33].S. Jankowski and R. Wanczuk, “Nonlinear CNN Cloning Templates for Image Thickening”, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications, 1992, pp. 179-202.
[34].T. Otake, T. Konishi, H. Aomori, N. Takahashi and M. Tanaka, “Image Resolution Upscaling via Two-Layered Discrete-Time Cellular Neural Network”, Cellular Neural Networks and Their Applications, Aug. 2006, pp. 1-6.
[35].A. Paasio, A. Dawidziuk and V. Porra, “VLSI Implementation of Cellular Neural Network Universal Machine”, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications, Oct. 1996, pp. 414-416.
[36].A. Paasio, J. Flak, M. Laiho and K. Halonen, “High density VLSI implementation of a bipolar CNN with reduced programmability”, IEEE International Sympoisum on Circuits and Systems, May 2004, vol. 3, pp. III-21-4.
[37].M. Sindhwani, T. Srikanthan and K. V. Asari, “VLSI efficient discrete-time cellular neural network processor”, IEEE Transactions on Circuits, Devices and Systems, Jun. 2002, vol. 149, pp. 167-171.
[38].A. Fasih, J. C. Chedjou and K. Kyamakya, “Cellular Neural Network Trainer and Template Optimization for Advanced Robot Locomotion, Based on Genetic Algorithm”, Mechatronics and Machine Vision in Practice, Dec. 2008, pp. 317-322.
[39].T. Nakaguchi, K. Omiya and M. Tanaka, “Hysteresis cellular neural networks for solving combinatorial optimization problems”, Cellular Neural Networks and Their Applications, Jul. 2002, pp. 539-546.
[40].A. Gacsadi, and P. Szolgay, “An Analogic CNN Algorithm for following Continuously Moving Objects”, Proceedings of the Third IEEE International Workshop on Cellular Neural Networks and their Applications, May 2000, pp. 99-104.
[41].D. Rodriguez-Fernandez, D. L. Vilarino and X. M. Pardo, “CNN implementation of a moving object segmentation approach for real-time video surveillance”, IEEE International Workshop on Cellular Neural Networks and Their Applications, Jul. 2008, pp. 129-134.
[42].A. Gacsadi, C. Grava and A. Grava, “Medical image enhancement by using cellular neural networks”, Computers in Cardiology, Sept. 2005, pp. 821-824.
[43].H. A. Firpi and E. D. Goodman, “Designing templates for cellular neural networks using particle swarm optimization”, Applied Imagery Pattern Recognition Workshop, Oct. 2004, pp. 119-123.
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