Title :
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
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;
Conference_Titel :
Circuits and Systems, 2002. APCCAS '02. 2002 Asia-Pacific Conference on
Print_ISBN :
0-7803-7690-0
DOI :
10.1109/APCCAS.2002.1115217