@inproceedings{scholars1327,
           pages = {477--482},
         journal = {Innovations in Computing Sciences and Software Engineering},
            year = {2010},
       publisher = {Kluwer Academic Publishers},
            note = {cited By 10; Conference of 2009 International Conference on Systems, Computing Sciences and Software Engineering, SCSS 2009, Part of the International Joint Conference on Computer, Information, and Systems Sciences, and Engineering, CISSE 2009 ; Conference Date: 4 December 2009 Through 12 December 2009; Conference Code:97343},
           title = {Parallelization of edge detection algorithm using MPI on Beowulf cluster},
             doi = {10.1007/978-90-481-9112-3{$_8$}{$_1$}},
          author = {Haron, N. and Amir, R. and Aziz, I. A. and Jung, L. T. and Shukri, S. R.},
        keywords = {Edge detection; Message passing; Parallel algorithms; Parallel programming; Signal detection; Software engineering, Beowulf Cluster; Component; Edge detection algorithms; Message passing libraries; Parallelizations; Sequential algorithm; Sobel edge detection, Clustering algorithms},
            isbn = {9789048191116},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-82955229989&doi=10.1007\%2f978-90-481-9112-3\%5f81&partnerID=40&md5=c848fc90d528cad68a37287f4b5be968},
        abstract = {In this paper, we present the design of parallel Sobel edge detection algorithm using Foster's methodology. The parallel algorithm is implemented using MPI message passing library and master/slave algorithm. Every processor performs the same sequential algorithm but on different part of the image. Experimental results conducted on Beowulf cluster are presented to demonstrate the performance of the parallel algorithm. {\^A}{\copyright} Springer Science+Business Media B.V. 2010.}
}