Execution time optimization analysis on multiple algorithms performance of moving object edge detection

Syed Zahurul Islam, Syed Zahidul Islam, Razali Jidin, Mohd Alauddin Mohd. Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Computer vision and digital image processing comprises varieties of applications, where some of these used in image processing include convolution, edge detection as well as contrast enhancement. This paper analyzes execution time optimization analysis between Sobel and Canny image processing algorithms in terms of moving objects edge detection. Sobel and Canny edge detection algorithms have been described with pseudo code and detailed flow chart and implemented in C and MATLAB respectively on different platforms to evaluate performance and execution time for moving cars. It is shown that Sobel algorithm is very effective in case of moving multiple cars and blurs images with efficient execution time. Moreover, convolution operation of Canny takes 94-95% time of total execution time with thin and smooth but redundant edges. This also makes more robust of Sobel to detect moving cars edges.

Original languageEnglish
Title of host publicationPower Control and Optimization - Proceedings of the 3rd Global Conference on Power Control and Optimization, PCO 2010
Pages289-295
Number of pages7
DOIs
Publication statusPublished - 24 Aug 2010
Event3rd Global Conference on Power Control and Optimization, PCO 2010 - Gold Coast, QLD, Australia
Duration: 02 Feb 201004 Feb 2010

Publication series

NameAIP Conference Proceedings
Volume1239
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Other

Other3rd Global Conference on Power Control and Optimization, PCO 2010
CountryAustralia
CityGold Coast, QLD
Period02/02/1004/02/10

Fingerprint

edge detection
optimization
image processing
convolution integrals
flow charts
computer vision
platforms
augmentation

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Islam, S. Z., Islam, S. Z., Jidin, R., & Mohd. Ali, M. A. (2010). Execution time optimization analysis on multiple algorithms performance of moving object edge detection. In Power Control and Optimization - Proceedings of the 3rd Global Conference on Power Control and Optimization, PCO 2010 (pp. 289-295). (AIP Conference Proceedings; Vol. 1239). https://doi.org/10.1063/1.3459762
Islam, Syed Zahurul ; Islam, Syed Zahidul ; Jidin, Razali ; Mohd. Ali, Mohd Alauddin. / Execution time optimization analysis on multiple algorithms performance of moving object edge detection. Power Control and Optimization - Proceedings of the 3rd Global Conference on Power Control and Optimization, PCO 2010. 2010. pp. 289-295 (AIP Conference Proceedings).
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abstract = "Computer vision and digital image processing comprises varieties of applications, where some of these used in image processing include convolution, edge detection as well as contrast enhancement. This paper analyzes execution time optimization analysis between Sobel and Canny image processing algorithms in terms of moving objects edge detection. Sobel and Canny edge detection algorithms have been described with pseudo code and detailed flow chart and implemented in C and MATLAB respectively on different platforms to evaluate performance and execution time for moving cars. It is shown that Sobel algorithm is very effective in case of moving multiple cars and blurs images with efficient execution time. Moreover, convolution operation of Canny takes 94-95{\%} time of total execution time with thin and smooth but redundant edges. This also makes more robust of Sobel to detect moving cars edges.",
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Islam, SZ, Islam, SZ, Jidin, R & Mohd. Ali, MA 2010, Execution time optimization analysis on multiple algorithms performance of moving object edge detection. in Power Control and Optimization - Proceedings of the 3rd Global Conference on Power Control and Optimization, PCO 2010. AIP Conference Proceedings, vol. 1239, pp. 289-295, 3rd Global Conference on Power Control and Optimization, PCO 2010, Gold Coast, QLD, Australia, 02/02/10. https://doi.org/10.1063/1.3459762

Execution time optimization analysis on multiple algorithms performance of moving object edge detection. / Islam, Syed Zahurul; Islam, Syed Zahidul; Jidin, Razali; Mohd. Ali, Mohd Alauddin.

Power Control and Optimization - Proceedings of the 3rd Global Conference on Power Control and Optimization, PCO 2010. 2010. p. 289-295 (AIP Conference Proceedings; Vol. 1239).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Islam SZ, Islam SZ, Jidin R, Mohd. Ali MA. Execution time optimization analysis on multiple algorithms performance of moving object edge detection. In Power Control and Optimization - Proceedings of the 3rd Global Conference on Power Control and Optimization, PCO 2010. 2010. p. 289-295. (AIP Conference Proceedings). https://doi.org/10.1063/1.3459762