Implementation of Gabor filter to texture analysis of radiographs in the assessment of osteoporosis

Author

Mengko, Tati Rajab ; Pramudito, J. Tjandra

Author_Institution

Dept. of Electr. Eng., Inst. Teknologi Bandung, Indonesia

Volume

2

fYear

2002

fDate

2002

Firstpage

251

Abstract

Multi-channel filtering implemented using the Gabor function, or Gabor filter, is capable of mimicking characteristics of the human visual system. In the assessment of osteoporosis, Gabor filter is used to calculate features from a trabecular pattern recorded on radiographs of a proximal femur. The assessment of osteoporosis can be done by observing and analyzing the trabecular pattern in the proximal femur. The feature extraction method used is energy calculation. The energy then is used for assessment or classification. The predetermined Singh index of the trabecular pattern is used to justify the classification result.

Keywords

bone; diagnostic radiography; feature extraction; image classification; image texture; medical image processing; Gabor filter implementation; Gabor function; Singh index; energy calculation; feature extraction method; human visual system characteristics; multi-channel filtering; osteoporosis assessment; pattern classification; proximal femur; radiographs; texture analysis; trabecular pattern features; Diagnostic radiography; Feature extraction; Filtering; Frequency; Gabor filters; Humans; Image texture analysis; Osteoporosis; Pattern analysis; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference on

Print_ISBN

0-7803-7690-0

Type

conf

DOI

10.1109/APCCAS.2002.1115217

Filename

1115217