An FPGA based coprocessor for calculating Grey level co-occurrence matrix

Author

Tahir, A. ; Bouridane, A. ; Kurugollu, F. ; Amira, A.

Author_Institution

Sch. of Comput. Sci., Belfast Queen´´s Univ.

Volume

2

fYear

2003

fDate

30-30 Dec. 2003

Firstpage

868

Abstract

Grey level co-occurrence matrix (GLCM), one of the beat known tool for texture analysis, estimates image properties related to second-order statistics. These image properties commonly known as texture features can be used for image classification, image segmentation, and remote sensing applications. However, their computations are highly intensive especially for very large images such as medical ones. Therefore, methods to accelerate their computations are highly desired. This paper proposes the use of reconfigurable hardware to accelerate the calculation of GLCM. The performances of the co-processor proposed are then assessed and compared against a microprocessor based solution

Keywords

coprocessors; field programmable gate arrays; grey systems; image texture; FPGA based coprocessor; GLCM; Grey level co-occurrence matrix; image classification; image property; image segmentation; microprocessor based solution; reconfigurable hardware; remote sensing application; second-order statistics; texture analysis; texture features; Acceleration; Computer applications; Coprocessors; Field programmable gate arrays; Image analysis; Image classification; Image segmentation; Image texture analysis; Remote sensing; Statistical analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2003 IEEE 46th Midwest Symposium on

Conference_Location

Cairo

ISSN

1548-3746

Print_ISBN

0-7803-8294-3

Type

conf

DOI

10.1109/MWSCAS.2003.1562424

Filename

1562424