Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms

Abdullah Al Nahid; Yinan Kong; Md Selim Hossain

doi:10.1109/DSDIS.2015.14

Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms

Abdullah Al Nahid, Yinan Kong, Md Selim Hossain

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

2 Citations (Scopus)

Abstract

Edge-detection methods have been an active area of research among researchers in the area of Digital Signal Processing. Some distinct methods have been recommended for edge extraction within an image. Among the different techniques, Canny and Fuzzy techniques have had very strong support in the edge-detection field. In this work, we have integrated the Canny and Fuzzy methods to extract the edge information from the image. This paper also analyze the performance of this integrated edge-detection algorithm with various performance measuring parameters.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015
Editors	Jinjun Chen, Laurence T. Yang
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	190-195
Number of pages	6
ISBN (Electronic)	9781509002146
DOIs	https://doi.org/10.1109/DSDIS.2015.14
Publication status	Published - 2015
Event	2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015 - Sydney, Australia Duration: 11 Dec 2015 → 13 Dec 2015

Other

Other	2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015
Country/Territory	Australia
City	Sydney
Period	11/12/15 → 13/12/15

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Nahid, A. A., Kong, Y., & Hossain, M. S. (2015). Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms. In J. Chen, & L. T. Yang (Eds.), Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015 (pp. 190-195). Article 7396502 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/DSDIS.2015.14

Nahid, Abdullah Al ; Kong, Yinan ; Hossain, Md Selim. / Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms. Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015. editor / Jinjun Chen ; Laurence T. Yang. Piscataway, NJ : Institute of Electrical and Electronics Engineers (IEEE), 2015. pp. 190-195

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title = "Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms",

abstract = "Edge-detection methods have been an active area of research among researchers in the area of Digital Signal Processing. Some distinct methods have been recommended for edge extraction within an image. Among the different techniques, Canny and Fuzzy techniques have had very strong support in the edge-detection field. In this work, we have integrated the Canny and Fuzzy methods to extract the edge information from the image. This paper also analyze the performance of this integrated edge-detection algorithm with various performance measuring parameters.",

author = "Nahid, {Abdullah Al} and Yinan Kong and Hossain, {Md Selim}",

year = "2015",

doi = "10.1109/DSDIS.2015.14",

language = "English",

pages = "190--195",

editor = "Jinjun Chen and Yang, {Laurence T.}",

booktitle = "Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015 ; Conference date: 11-12-2015 Through 13-12-2015",

}

Nahid, AA, Kong, Y & Hossain, MS 2015, Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms. in J Chen & LT Yang (eds), Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015., 7396502, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 190-195, 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015, Sydney, Australia, 11/12/15. https://doi.org/10.1109/DSDIS.2015.14

Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms. / Nahid, Abdullah Al; Kong, Yinan; Hossain, Md Selim.
Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015. ed. / Jinjun Chen; Laurence T. Yang. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2015. p. 190-195 7396502.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Nahid, Abdullah Al

AU - Kong, Yinan

AU - Hossain, Md Selim

PY - 2015

Y1 - 2015

N2 - Edge-detection methods have been an active area of research among researchers in the area of Digital Signal Processing. Some distinct methods have been recommended for edge extraction within an image. Among the different techniques, Canny and Fuzzy techniques have had very strong support in the edge-detection field. In this work, we have integrated the Canny and Fuzzy methods to extract the edge information from the image. This paper also analyze the performance of this integrated edge-detection algorithm with various performance measuring parameters.

AB - Edge-detection methods have been an active area of research among researchers in the area of Digital Signal Processing. Some distinct methods have been recommended for edge extraction within an image. Among the different techniques, Canny and Fuzzy techniques have had very strong support in the edge-detection field. In this work, we have integrated the Canny and Fuzzy methods to extract the edge information from the image. This paper also analyze the performance of this integrated edge-detection algorithm with various performance measuring parameters.

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M3 - Conference proceeding contribution

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EP - 195

BT - Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015

A2 - Chen, Jinjun

A2 - Yang, Laurence T.

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015

Y2 - 11 December 2015 through 13 December 2015

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Nahid AA, Kong Y, Hossain MS. Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms. In Chen J, Yang LT, editors, Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2015. p. 190-195. 7396502 doi: 10.1109/DSDIS.2015.14

Performance Analysis of Integrated Canny and Fuzzy Logic Based (3-by-3 Cell Block) Edge Detection Algorithms

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