Detecting the edge of multiple images in parallel

Aithal, Prakash K and Acharya, Dinesh U and Rajesh, G (2015) Detecting the edge of multiple images in parallel. In: 17th International Conference on Parallel Distributed Systems and Software Engineering, July 4-5, 2015, Singapore.

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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: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Edge detection, multicore, GPU, openCL, MPI.
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 15 Jul 2015 05:05
Last Modified: 15 Jul 2015 05:05

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