@misc{Lin_Pan_X-ray_2005,
 author={Lin, Pan and Zheng, Chongxun and Zhang, Feng and Yang, Yong},
 contributor={Gaj, Miron. Redakcja and Wilk, Ireneusz. Redakcja},
 year={2005},
 rights={Wszystkie prawa zastrzeżone (Copyright)},
 publisher={Oficyna Wydawnicza Politechniki Wrocławskiej},
 description={Optica Applicata, Vol. 35, 2005, nr 2, s. 283-294},
 language={eng},
 abstract={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.},
 title={X-ray carpal-bone image boundary feature analysis using region statistical feature based level set method for skeletal age assessment application},
 type={artykuł},
 keywords={optyka, carpal-bone radiograph, skeletal age (estimation), anisotropic diffusion filter, level set method, region statistical information},
}