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2021 | OriginalPaper | Chapter

Edge Detection Using Guided Image Filtering and Ant Colony Optimization

Authors : Akshi Kumar, Sahil Raheja

Published in: Recent Innovations in Computing

Publisher: Springer Singapore

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Abstract

Edge detection is an important phenomenon in various classes of engineering problems. The classical methods which are based on the kernel designs are not very accurate and edges are falsely detected. Recent methods which are based on soft computing are adaptive in nature, and therefore using soft computing methods accuracy of detected edges can be improved. This paper presents an ant colony optimization-based edge detection process, and where edges are enhanced using guided filtering. The simulation results clearly show that the proposed scheme is much superior to recently proposed edge detection methods.

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Literature
1.
Singh, R.K., Shekhar, S., Singh, R.B., Chauhan, V.: A comparative study of edge detection techniques. Int. J. Comput. Appl. 100, 19 (2014)
2.
Maini, R., Aggarwal, H.: Study and comparison of various image edge detection techniques. Int. J. Image Process. (IJIP) 3(1), 1–11 (2009)
3.
Dollar, P., Tu, Z., Belongie, S.: Supervised learning of edges and object boundaries. In: 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 1964–1971 (2006)
4.
Raheja, S., Kumar, A.: Edge detection based on type-1 fuzzy logic and guided smoothening. Evolving Syst. 1–16 (2019)
5.
Dorigo, M., Thomas, S.: Ant Colony Optimization. MIT Press, Cambridge (2004)CrossRef
6.
Jing, T., Yu, W., Xie, S.: An ant colony optimization algorithm for image edge detection. In: Proceedings of the IEEE International, pp. 751–756 (2008)
7.
Lu, D.S., Chen, C.C.: Edge detection improvement by ant colony optimization. Pattern Recogn. Lett. 9, 416–425 (2008)CrossRef
8.
Gupta, C., Gupta, S.: Edge detection of an image based on ant colony optimization technique. Int. J. Sci. Res. (IJSR) 2(6), 1256–1260 (2013)
9.
Raheja, S., Kumar, A.: Edge detection using ant colony optimization under novel intensity mapping function and weighted adaptive threshold. Int. J. Integr. Eng. (to be appear in Feb 2020 issue)
10.
Elad, M.: On the origin of the bilateral filter and ways to improve it. IEEE Trans. Image Process. 11(10), 1141–1151 (2002)MathSciNetCrossRef
11.
He, K., Sun, J., Tang, X.: Guided image filtering. In: European Conference on Computer Vision, pp. 1–14. Springer, Berlin (2010)
12.
Xiao, P., Li, J., Li, J.P.: An improved ant colony optimization algorithm for image extracting. In: Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference, pp. 248–252 (2010)
13.
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 6, 679–698 (1986)
14.
Vincent, O.R., Folorunso, O.: A descriptive algorithm for sobel image edge detection. In: Proceedings of Informing Science & IT Education Conference, vol. 40, pp. 97–107 (2009)
15.
Arbelaez, P., Maire, M., Fowlkes, C., Malik, J.: Contour detection and hierarchical image segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 33(5), 898–916 (2011)CrossRef
16.
Lim, J.J., Zitnick, C.L., Dollár, P.: Sketch tokens: a learned mid-level representation for contour and object detection. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 3158–3165 (2013)
17.
Dollár, P., Zitnick, C.L.: Structured forests for fast edge detection. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1841–1848 (2013)
Metadata
Title
Edge Detection Using Guided Image Filtering and Ant Colony Optimization
Authors
Akshi Kumar
Sahil Raheja
Copyright Year
2021
Publisher
Springer Singapore
Book
Recent Innovations in Computing

Print ISBN: 978-981-15-8296-7

Electronic ISBN: 978-981-15-8297-4

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-8297-4_26

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