Parallel implementation of morphological processing by arbitrary kernels on Cell/BE with OpenCV interface

Author

Sugano, Hiroki ; Miyamoto, Ryusuke

Author_Institution

Dept. of Commun. & Comput. Eng., Kyoto Univ., Kyoto

fYear

2008

fDate

Nov. 30 2008-Dec. 3 2008

Firstpage

1580

Lastpage

1583

Abstract

One of the most frequently used operations in image recognition is morphological processing. In this paper, we propose a parallel implementation of morphological processing optimized for Cell Broadband Engine (Cell), which is one of the latest high performance embedded processors. By utilizing the computational power of Cell suitable for image recognition, we achieve high-speed morphological processing. Moreover, we construct a software interface to the parallel implemented morphological operations on Cell compatible with OpenCV library. By our implementation, six 3.6 GHz SPEs on Cell can process erosion of a 640times480 pixel image by a 5times5 pixel elliptic kernel in 0.263 milliseconds, though a 2.66 GHz Intel Core 2 processor takes 0.547 milliseconds to process it under Intel Integrated Performance Primitives.

Keywords

embedded systems; image morphing; image recognition; Intel integrated performance primitives; OpenCV interface; arbitrary kernels; cell broadband engine; high performance embedded processors; image recognition; morphological processing; software interface; Application software; Computer architecture; Engines; Image recognition; Kernel; Morphological operations; Open source software; Pixel; Real time systems; Software libraries;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on

Conference_Location

Macao

Print_ISBN

978-1-4244-2341-5

Electronic_ISBN

978-1-4244-2342-2

Type

conf

DOI

10.1109/APCCAS.2008.4746336

Filename

4746336