Detecting the Edge of Multiple Images in Parallel

Aithal, Prakash K and Acharya, Dinesh U and Gopakumar, Rajesh (2015) Detecting the Edge of Multiple Images in Parallel. International journal of computer,Electrical,Automation,Control and Information Engineering, 9 (7). pp. 1192-1195.

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Edge is variation of brightness in an image. Edge detection is useful in many application areas such as finding forests, rivers from a satellite image, detecting broken bone in a medical image etc. The paper discusses about finding edge of multiple aerial images in parallel. The proposed work tested on 38 images 37 colored and one monochrome image. The time taken to process N images in parallel is equivalent to time taken to process 1 image in sequential. Message Passing Interface (MPI) and Open Computing Language (OpenCL) is used to achieve task and pixel level parallelism respectively.

Item Type: Article
Uncontrolled Keywords: Edge detection, multicore, GPU, openCL, MPI.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 14 Jul 2015 11:43
Last Modified: 14 Jul 2015 11:43

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