An Adaptive Bilateral Filter for Noise Removal and Novel Hybrid Fuzzy Cognitive Map-FNN Edge Detection Method for Images
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The important process in image processing is edge detection and it is considered as the basis for the pattern recognition owing to its effect on the subsequent processes of image processing. Edge detection is highly needed for processing of noisy images as noise is the main shortcoming of the images. There are many optimization algorithms such as SVM, WSVM classifiers so far reported for performing edge detection. Inspire of rendering better results, these existing methods suffer from lack of transparency thus affecting the overall performance of the system. This paper presents a novel method for edge detection which operates on the hybrid fuzzy cognitive map based fuzzy neural network (HFCM-FNN). This method employs a facile way of processing images using HFCM-FNN by reducing the execution time and upgrading the visual quality. The experimentation results shows the overall performance results of the proposed HFCM-FNN edge detection method and it can be compared with existing SVM, WSVM methods.
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Chongyang hao, Min qi ,U. Heute and C. Moraga ,New method for fast image edge detection based on Subband decomposition, Image Anal Stereol ,Vol.20, pp. 53-57,2001.
G. Padmavathi, P. Subashini, P. K. Lavanya, Performance evaluation of the various edge detectors and filters for the noisy IR images, Proceedings of the 2nd WSEAS International Conference on Sensors, and Signals and Visualization (Imaging and Simulation and Materials Science, ISSN: 1790-5117 Pages 199-203).
M. Davoodianidaliki , A. Abedini , M. Shankayi Adaptive Edge Detection Using Adjusted Ant Colony Optimization, International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. XL-1/W3, pp.123-126, 2013.
Ehsan Nadernejad, Sara Sharifzadeh, Hamid Hassanpour, Edge Detection Techniques: Evaluations and Comparisons, Applied Mathematical Sciences, Vol. 2, No. 31, pp.1507 – 1520, 2008.
Peter Meer, and Bogdan Georgescu, Edge Detection with Embedded Confidence, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 12, pp.1351-1365, December 2001.
Mamta Juneja , Parvinder Singh Sandhu ,Performance Evaluation of Edge Detection Techniques for Images in Spatial Domain ,International Journal of Computer Theory and Engineering, Vol. 1, No. 5, December, 2009 pp.1793-8201.
Akansha Mehrotra, Krishna Kant Singh and M.J.Nigam. Article: A Novel Algorithm for Impulse Noise Removal and Edge Detection. International Journal of Computer Applications Vol.38, No.7,pp.30-34, January 2012. Published by Foundation of Computer Science, New York, USA.
Ratika Pradhan, Prasanna Pradhan, Reshmi Bhattacharjee, Divyendra Singh ,Edge Detection using Morphological Operator: A New Approach , International Journal of Advanced Research in Computer Science and Software Engineering ,Vol.4, No.2, pp. pp. 84 -88 ,February 2014.
Sheng Yi, Labate, D. ; Easley, G.R. ; Krim, H ,A Shearlet Approach to Edge Analysis and Detection, Image Processing, IEEE Transactions on , Vol.18 , No.5 , pp. 929 – 941,2009.
Jing Tian ; Weiyu Yu ; Shengli Xie ,An ant colony optimization algorithm for image edge detection, IEEE Congress on Evolutionary Computation, pp. 751 – 756, 2008.
Julien Mairal, Marius Leordeanu, Francis Bach, Martial Hebert, Jean Ponce ,Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation (Computer Vision – ECCV 2008 Lecture Notes in Computer Science Vol.5304, pp 43-56,2008).
Shen-Chuan Tai ; Shih-Ming Yang ,A fast method for image noise estimation using Laplacian operator and adaptive edge detection, 3rd International Symposium on Communications, Control and Signal Processing ( pp. 1077 – 1081,2008. ISCCSP 2008).
Wenshuo Gao ; Xiaoguang Zhang ; Lei Yang ; Huizhong Liu ,An improved Sobel edge detection, 3rd IEEE International Conference on Computer Science and Information Technology (Vol.5 ,pp. 67 - 71 ,2010).
Bing Wang ; DeptShaosheng Fan ,An Improved CANNY Edge Detection Algorithm ,Second International Workshop on Computer Science and Engineering ( Vol. 1, pp. 497 – 500, 2009. WCSE '09).
Qi Min, Zhou Zuofeng, , Liu Jing3,c , Cao Jianzhong , Wang Hao, Yan Aqi , Wu Dengshan , Zhang Hui and Tang Linao, Image denoising algorithm via spatially adaptive bilateral filtering ,Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM-13),pp.0431-435.
M. Zhang, B.K. Gunturk, Multiresolution Bilateral Filtering for Image Denoising, IEEE Trans. Image Process. Vol.17, , pp. 2324–2333,2008.
W. Dai and K. Wang, An image edge detection algorithm based on local entropy, in Proceedings of the IEEE International Conference on Integration Technology (ICIT’07) ( pp. 418–420,2007).
I. E. Sobel, Camera Models and Machine Perception, Ph.D. Thesis, Electrical Engineering Department, Stanford University, California, United States, 1970.
Huaibin Wang , Li Wang ,Application of Improved Fuzzy Cognitive Map Based on Fuzzy Neural Network in Intrusion Detection , Journal of Information & Computational Science, Vol.10,No. 1,pp.271–278, 2013.
JianWu, Qingwei Cao, An OWA operator based approach to aggregate group opinion by similarity degree, Fourth International Conference on Business Intelligence and Financial Engineering (pp.665-667,2011).
Liu, H., Liang, L., Zhang, L., Submarine hydraulic rudder control system based on fuzzy logic algorithm, (2012) International Review on Computers and Software (IRECOS), 7 (5), pp. 2367-2371.
R. Fuller, On obtaining OWA operator weights: A sort survey of recent developments, International Conference on Computational Cybernetics (pp.241-244, 2007).
Wenqiang Xiang, Hua Zhang, Heng Wang, Application of BP neural network with L-M algorithm in power transformer fault diagnosis, Applied Mechanics and Materials, Power System Protection and Control, Vol.39 , pp.100-104,2011.
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