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2018 | OriginalPaper | Buchkapitel

Edge Detection Using Fuzzy Logic (Fuzzy Sobel, Fuzzy Template, and Fuzzy Inference System)

verfasst von : Rachita Katoch, Rosepreet Kaur Bhogal

Erschienen in: Intelligent Communication, Control and Devices

Verlag: Springer Singapore

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Abstract

Prime edges in a digital image contain useful information that can be utilized in the processing of digital images. Edges of an image can be applied in disjointing of images, finding objects in images, for image registration, etc. Edge detectors are the tools that find out all the edge pixels that are present in a digital image. Edges are the points in an image where the intensity level changes very sharply from one pixel to other pixel. In this research paper, edge detection using three different methods of fuzzy logic has been done. The three different methods of fuzzy logic for edge detection are Sobel fuzzy edge detector, template fuzzy edge detector and fuzzy inference system. A comparison has been made among these three methods at different values of threshold. The result shows that the fuzzy inference method gives more good results than other two methods under all outlines.

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Vorheriges Kapitel Development of Multi-verse Optimizer (MVO) for LabVIEW

Nächstes Kapitel Performance Analysis of COADM-Based Transparent Optical Network

S.N. Sivanandam, S. Sumathi and S.N Deepa, “Introduction to Fuzzy Logic using MATLAB,” Springer, Berlin, 2007, pp. 2.

T. Shimada, F. Sakaida, H. Kawamura, and T. Okumura, “Application of an edge detection method to satellite images for distinguishing sea surface temperature fronts near the Japanese coast,” Remote Sensing of Environment, vol. 98, no. 1, pp. 21–34, 2005.

A. A. Goshtasby, 2-D and 3-D Image Registration: for Medical, Remote Sensing, and Industrial Applications. 2005, pp. 21–34, 2005.

A. Kazerooni, A. Ahmadian, N. D. Serej, H. Saberi, H. Yousefi, and P. FarniaSerej, H. Saberi, H. Yousefi, and P. Farnia, “Segmentation of brain tumors in MRI images using multi-scale gradient vector flow,” 2011, pp. 7973–7976.

B. Siliciano, L. Sciavicco, L. Villani, and G. Oriolo, Robotics: Modelling, Planning and Control. 2010, pp. 415–418.

Ching-Yu Tyan and Paul P. Wang, “Image Processing—Enhancement, Filtering and Edge Detection Using the Fuzzy Logic Approach,” IEEE, pp. 600–605, 1993.

Mehul Thakkar, Prof. Hitesh Shah, “Edge Detection Techniques Using Fuzzy Thresholding,” IEEE, pp. 307–312, 2011.

TALAI Zoubir “A Fast Edge Detection Using Fuzzy Rules,” IEEE, pp. 1–5, 2011.

Fabrizio Russo “Edge Detection in Noisy Images Using Fuzzy Reasoning,” IEEE, pp. 369–372, 1998.

10.

S. K. Pal, R. A. King, “Image Enhancement Using Fuzzy Sets,” Electronics Letters, Vol. 16, pp. 376–378, 1980.

11.

Abdallah A. Alshennawy, and Ayman A. Aly, “Edge Detection in Digital Images Using Fuzzy Logic Technique” World Academy of Science, Engineering and Technology 51, pp. 178–186, 2009.

12.

Saman Sinaie, Afshin Ghanizadeh, Siti Mariyam Shamsuddin, “A Hybrid Edge Detection Method Based on Fuzzy Set theory and Cellular Learning Automata.” International Conference on ComputationalScience and Its Applications, ICCSA. IEEE Computer Society, pp. 208–214, 2009.

13.

Dhiraj kumar Patel and Prof. S. A. More, “An Enhanced Approach for EDGE Image Enhancement using Fuzzy Set Theory and Cellular Learning Automata(CLA)”, World Journal of Science and Technology, pp. 158–162, 2012.

14.

P. Jebaraj Selvapeter, Wim Hordijk, “Cellular Automata for Image Noise Filtering” 978–1-4244-5612-3/09 IEEE 2009.

15.

Yan Ha, “Method of edge detection based on Non-linear cellular Automata”, Proceedings of the 7th World Congress on Intelligent Control and Automation, June 25–27, 2008.

16.

Suryakant, Neetu Kushwaha “Edge Detection using Fuzzy Logic in Matlab,” vol. 2, pp. 38–40, 2012.

Titel: Edge Detection Using Fuzzy Logic (Fuzzy Sobel, Fuzzy Template, and Fuzzy Inference System)
verfasst von: Rachita Katoch
Rosepreet Kaur Bhogal
Verlag: Springer Singapore
Buch: Intelligent Communication, Control and Devices
Print ISBN: 978-981-10-5902-5

Electronic ISBN: 978-981-10-5903-2

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-981-10-5903-2_76

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