Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

Hardware Accelerating Design Of Image Matching With FNCC Similarity Measure Algorithm

Authors
Xiong-Bo Zhao, Song-Ling Wu, Liang-Liang Liu
Corresponding Author
Xiong-Bo Zhao
Available Online December 2016.
DOI
https://doi.org/10.2991/icwcsn-16.2017.23How to use a DOI?
Keywords
component; similarity measure; FNCC; image matching; memory controller structure
Abstract
Similarity measure is a usual image processing algorithm, which is decisive for the quality of image registration. And Fast Normalized Cross Correlation(FNCC) is one of the most common similarity matching algorithm. However, it is computationally intensive and very time consuming which limits its application. This paper presents a hardware accelerating design of similarity measure algorithm using FNCC based on FPGA which is highly faster than DSP solution. The FPGA implementation is performed effectively according to formula deformation, optimized pipelining and parallel processing. And a new memory controller structure which supports mis-aligned access in different bit-width is designed. Compared to the implement on DSP which running at 300MHz, implement on FPGA which works at 100MHz improves the process speed more than an order of magnitude.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-302-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icwcsn-16.2017.23How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xiong-Bo Zhao
AU  - Song-Ling Wu
AU  - Liang-Liang Liu
PY  - 2016/12
DA  - 2016/12
TI  - Hardware Accelerating Design Of Image Matching With FNCC Similarity Measure Algorithm
PB  - Atlantis Press
SP  - 105
EP  - 108
SN  - 2352-538X
UR  - https://doi.org/10.2991/icwcsn-16.2017.23
DO  - https://doi.org/10.2991/icwcsn-16.2017.23
ID  - Zhao2016/12
ER  -