TY - GEN
T1 - Automatic segmentation of bone tissue in x-ray hand images
AU - Yuksel, Ayhan
AU - Olmez, Tamer
PY - 2009
Y1 - 2009
N2 - Automatic segmentation of X-ray hand images is an important process. In studies such as skeletal bone age assessment, bone densitometry and analyzing of bone fractures, it is a necessary extremely difficult and complicated task. In this study, hand X-ray images were segmented by using C-means classifier. Extraction of bone tissue was realized in three steps: i) preprocessing, ii) feature extraction and iii) automatic segmentation. In preprocessing scheme, inhomogeneous intensity distribution is eliminated and some structural pre-information about hand was obtained in order to use in feature extraction block. In feature extraction process, edges between soft and bone tissues were extracted by proposed enhancement process. In automatic segmentation process, the image was segmented using C-mean classifier by taking care of local information. In the study, hand images of ten different people were segmented with high performances above 95%.
AB - Automatic segmentation of X-ray hand images is an important process. In studies such as skeletal bone age assessment, bone densitometry and analyzing of bone fractures, it is a necessary extremely difficult and complicated task. In this study, hand X-ray images were segmented by using C-means classifier. Extraction of bone tissue was realized in three steps: i) preprocessing, ii) feature extraction and iii) automatic segmentation. In preprocessing scheme, inhomogeneous intensity distribution is eliminated and some structural pre-information about hand was obtained in order to use in feature extraction block. In feature extraction process, edges between soft and bone tissues were extracted by proposed enhancement process. In automatic segmentation process, the image was segmented using C-mean classifier by taking care of local information. In the study, hand images of ten different people were segmented with high performances above 95%.
KW - Classifiers
KW - Hand radiographs
KW - Image segmentation
UR - https://www.scopus.com/pages/publications/78650750619
U2 - 10.1007/978-3-642-04921-7_60
DO - 10.1007/978-3-642-04921-7_60
M3 - Conference contribution
AN - SCOPUS:78650750619
SN - 3642049206
SN - 9783642049200
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 590
EP - 599
BT - Adaptive and Natural Computing Algorithms - 9th International Conference, ICANNGA 2009, Revised Selected Papers
T2 - 9th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2009
Y2 - 23 April 2009 through 25 April 2009
ER -