Scalability evaluation of Matlab routines for parallel image processing environment

• Autorzy: Saif J. A. M. , Sumionka P.

Identyfikatory

DOI

10.17466/tq2017/21.4/i

• Języki publikacji: EN

Abstrakty

EN

Image edge detection plays a crucial role in image analysis and computer vision, it is defined as the process of finding the boundaries between objects within the considered image. The recognized edges may further be used in object recognition or image matching. In this paper a Canny image edge detector is used which gives acceptable results that can be utilized in many disciplines, but this technique is time-consuming especially when a big collection of images is analyzed. For that reason, to enhance the performance of the algorithms, a parallel platform allowing speeding up the computation is used. The scalability of a multicore supercomputer node, which is exploited to run the same routines for a collection of color images (from 2100 to 42000 images) is investigated.

Słowa kluczowe

EN

scalability; parallel image processing; Matlab

PL

skalowalność; równoległe przetwarzanie obrazu; Matlab

• Wydawca: Politechnika Gdańska
• Czasopismo: TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk
• Rocznik: 2017
• Tom: Vol. 21, No 4
• Strony: 423--433
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Saif J. A. M.

• Hodeidah University Hodeidah, Yemen Currently, University of Bisha, Bisha, KSA

autor

Sumionka P.

• Gdansk University of Technology, Academic Computer Center CI TASK, Narutowicza 11/12, 80-233 Gdansk, Poland

Bibliografia

• [1] Acharya T and Ray A K 2005 Image Processing Principles and Applications, John Wiley & Sons, Inc.
• [2] Saini R, Dutta M and Kumar R 2012 J. Information and Operations Management
• [3] Madhuri J A 2006 Digital Image processing, Prentice Hall
• [4] Saif J A M, Hammad M H, and Alqubati I A 2015 ICSST 2015
• [5] Szeliski R 2011 Computer Vision – Algorithms and Application , Springer
• [6] Thakare P 2011 IJCSE
• [7] Umbaugh S E 1998 Computer Vision and Image Processing: A Practical Approach Using CVIP tools, Prentice Hall
• [8] Sonka M, Hlavac V and Boyle R 2008 Image Processing, Analysis and Machine Vision, Thomson
• [9] Krawczyk H, Proficz J and Ziolkowski T 2012 Task Quarterly 16 (1) 145
• [10] Krawczyk H and Proficz J 2012 [Online] available at: https://www.intechopen.com/books/interactive-multimedia/real-time-multimedia-stream-data-processing-in-a-supercomputer-environment
• [11] Proficz J and Krawczyk H Task Allocation and Scalability Evaluation for Real-Time Multimedia Processing in a Cluster Environment
• [12] [Online] available at: https://www.mathworks.com/help/images/ref/edge.html
• [13] [Online] available at: http://suraj.lums.edu.pk/~cs436a02/CannyImplementation.htm

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).