DocumentCode :
3436911
Title :
An FPGA-based architecture for real time image feature extraction
Author :
Bariamis, D.G. ; Iakovidis, D.K. ; Maroulis, D.E. ; Karkanis, S.A.
Author_Institution :
Dept. of Inf. & Telecommun., Athens Univ., Greece
Volume :
1
fYear :
2004
fDate :
23-26 Aug. 2004
Firstpage :
801
Abstract :
We propose a novel FPGA-based architecture for the extraction of four texture features using gray level cooccurrence matrix (GLCM) analysis. These features are angular second moment, correlation, inverse difference moment, and entropy. The proposed architecture consists of a hardware and a software module. The hardware module is implemented on Xilinx Virtex-E V2000 FPGA using VHDL. It calculates many GLCMs and GLCM integer features in parallel. The software retrieves the feature vectors calculated in hardware, and performs complementary computations. The architecture was evaluated using standard grayscale images and video clips. The results show that it can be efficiently used in realtime pattern recognition applications.
Keywords :
feature extraction; field programmable gate arrays; hardware description languages; image texture; matrix algebra; real-time systems; FPGA based architecture; VHDL; Xilinx Virtex-E V2000 FPGA; entropy; feature vector retrieval; grayscale images; hardware module; real time image feature extraction; realtime pattern recognition; software module; texture feature extraction; video clips; Application software; Computer architecture; Entropy; Feature extraction; Field programmable gate arrays; Gray-scale; Hardware; Image texture analysis; Pattern recognition; Software performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
ISSN :
1051-4651
Print_ISBN :
0-7695-2128-2
Type :
conf
DOI :
10.1109/ICPR.2004.1334338
Filename :
1334338
Link To Document :
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