TY - GEN N1 - Optica Applicata, Vol. 35, 2005, nr 2, s. 283-294 N2 - Skeletal age assessment is one of the important applications of hand radiography in the area of pediatric radiology. Feature analysis of the carpal-bones can reveal the important information for skeletal age assessment. The present work in this paper faces the problem of the detection of carpal -bone features from X-ray image. A novel and effective segmentation technique is presented in this work with carpal-bone image for skeletal age estimation. Carpal-bone segmentation is a critical operation of the automatic skeletal age assessment system. This method consists of two procedures. First, the original carpal-bone image is preprocessed via anisotropic diffusion filter. Then, the carpal-bone image is segmented by region based level set method. The basic idea of the region based level set method is to add a force that takes into account the information within the regions in order to add robustness and more efficiently separate homogeneous regions. Experiments are carried out on X-ray images of carpal-bone. The experimental results show that incorporating region statistical information into the level set method, an accurate and robust segmentation can be achieved. L1 - http://dbc.wroc.pl/Content/72600/optappl_3502p283.pdf M3 - artykuł L2 - http://dbc.wroc.pl/Content/72600 PY - 2005 KW - optyka KW - carpal-bone radiograph KW - skeletal age (estimation) KW - anisotropic diffusion filter KW - level set method KW - region statistical information C1 - Wszystkie prawa zastrzeżone (Copyright) A1 - Lin, Pan A1 - Zheng, Chongxun A1 - Zhang, Feng A1 - Yang, Yong A2 - Gaj, Miron. Redakcja A2 - Wilk, Ireneusz. Redakcja PB - Oficyna Wydawnicza Politechniki Wrocławskiej C6 - Dla wszystkich w zakresie dozwolonego użytku LA - eng CY - Wrocław T1 - X-ray carpal-bone image boundary feature analysis using region statistical feature based level set method for skeletal age assessment application UR - http://dbc.wroc.pl/dlibra/publication/edition/72600 ER -