Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers (2nd Edition)
Principles of Parallel Programming
Principles of Parallel Programming
Image Edge Detection Based on FPGA
DCABES '10 Proceedings of the 2010 Ninth International Symposium on Distributed Computing and Applications to Business, Engineering and Science
Segmenting images with gradient-based edge detection using Membrane Computing
Pattern Recognition Letters
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This paper presents the parallel multicore Sobel edge algorithm which parallelizes the traditional sequential Sobel edge detection algorithm on a parallel multicore platform. The current advancement of multicore architecture can be utilized by the parallel programming paradigm when focuses on the thread operations. The CPUs/cores provide more processing resource to be used but often not fully utilized to its utmost potential. In this paper, the performance of multicore architectures, combined with the parallel communication software named Message Passing Interface (MPI), on the application of Sobel Edge detector algorithm is implemented on various thread processing is performed and analyzed. The test is being done on ten different images with each image tested in the varying size of 1K×1K, 2K×2K, and 3K×3K pixels. The significant performance increment is discovered due to the fact that the CPU is being fully utilized. This proves that the current hardware is far more underutilized than one would expect.