Edge Detection of Noisy Images Using the Intelligent Techniques

Publish Year: 1392
نوع سند: مقاله ژورنالی
زبان: English
View: 81

This Paper With 10 Page And PDF Format Ready To Download

  • Certificate
  • من نویسنده این مقاله هستم

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این Paper:

شناسه ملی سند علمی:

JR_MJEE-7-2_007

تاریخ نمایه سازی: 3 آبان 1402

Abstract:

In this paper an approach is presented for edge detection of noisy images that have been degraded by impulsive noise. It uses Fuzzy Inference System (FIS) and Ant Colony Optimization (ACO). Starting with, using the FIS with ۱۲ simple rules is to identify the noisy pixels in order to perform the filtering operation only for the noisy pixels. Probable edge pixels in ۴ main directions for filtered image are detected using fuzzy rules and then ACO is applied by assigning a higher pheromone value for the probable edge pixels rather than other pixels so that the ant’s movement toward edge pixels gets faster. Another factor is the influence of the heuristic information in the movement of any ant that is considered to be proportional to local change in intensity of each pixel in order to the possibility of movement of ants increased toward pixels that have more change in their local intensity. Finally, by using an intelligent thresholding technique which is provided by training a neural network, the edges from the final pheromone matrix are extracted. Experimental results are provided in order to demonstrate the superior performance of the proposed approach.

Keywords:

Authors

Hamidreza Alikhani

Department of Electrical Engineering, Tafresh University, Tafresh, Iran

Ali Reza Naghsh

Department of Electrical Engineering, Najaf Abad Azad University, Najaf Abad, Iran

Razieh Jalali Varnamkhasti

Department of Electrical Engineering, Tafresh University, Tafresh, Iran

مراجع و منابع این Paper:

لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :
  • H.Hassanpour,E.Nadernejad, and H.Miar,“Image restorationusing a PDE-based approach, ”Int. J. of ...
  • E.nadernejad and H.Hassanpour,“A comparison and analysisof different PDE-based approaches for ...
  • R.C.Gonzalez and R.E.Woods,Digital Image Processing, Prentice Hall,۲۰۰۴ ...
  • T.Chen,K.K.Ma, and L.H.Chen,“Tri-State Median Filter forImage Denoising,”IEEE Transactions on Image ...
  • V.Crnojevic,V.Senk,andZ.Trpovski,“Advanced ImpulseDetection Based on Pixel-Wise MAD, ”IEEE Signal Processing Letters,vol.۱۱,no.۷,pp.۵۸۹-۵۹۲,July. ...
  • R.Garnett,T.Huegerich,C.Chui,andW.He, “A Universal NoiseRemoval Algorithm With an Impulse Detector,”IEEE Transactions ...
  • P.KumarSa,B.Majhi,G.Panda, “Improved Adaptive ImpulsiveNoise Suppression,”Fuzzy Systems Conference. ۲۰۰۷, Fuzz-IEEE ۲۰۰۷.IEEE ...
  • C.J. Miosso, and A. Bauchspiess, “Fuzzy Inference System Applied to ...
  • L. Hu, H.D. Cheng, and M. Zhang,“A High Performance EdgeDetector ...
  • J.K. Paik, and A.K. Katsaggelos,“Edge Detection Using A Neural Network,”International ...
  • M.S. Bhuiyan, H. Matsuo, A. Iwata, H. Fujimoto, and M. ...
  • M. Dorigo, G.D. Caro, and T. Stutzle, “Special Issue on ...
  • O. Cordon, F. Herrera, and T. Stutzle, “Special Issue onAntColonyOptimization:Modelsand ...
  • M. Dorigo, L.M. Gambardella, M. Middendorf, and T. Stutzle,“SpecialIssueonAnt Colony ...
  • H. Zheng, A. Wong, and S.Nahavandi,“Hybrid ant colony algorithm for ...
  • D. Martens, M.D. Backer, R. Haesen, J. Vanthienen, M. Snoeck, ...
  • A.T. Ghanbarian, E. Kabir, and N.M. Charkari,“Colorreductionbasedon ant colony,”Pattern Recognition ...
  • M. Dorigo, and T. Stutzle,Ant Colony Optimization, Cambridge: MIT Press, ...
  • M. Dorigo and L.M. Gambardella, “Ant Colony System:acooperativelearning approachto the ...
  • T. Stutzle, and H. Holger H, “Max-Min ant system,”FutureGenerationComputerSystems, vol.۱۶, ...
  • J. Tian,W. Yu, S. Xie,“An Ant Colony OptimizationAlgorithmForImage Edge Detection,”IEEECongressonEvolutionary ...
  • N. Otsu,“A threshold selection method from gray level histograms,”IEEE Trans. ...
  • A.V. Baterina, C. Oppus,“Image edge detection usingantcolonyoptimization,”WSEAS Transactionson Signal Processing, ...
  • H. Nezamabadi-pour, S. Saryazdi, and E. Rashedi,“ Edgedetectionusingantalgorithms, ”Soft Computing, ...
  • J. Zhang, K. He, X. Zheng, J. Zhou, “ An ...
  • نمایش کامل مراجع