Title :
Fracture identification of X-ray image
Author :
Liang, Jian ; Pan, Bao-chang ; Huang, Young-Hui ; Fan, Xiao-yan
Author_Institution :
Fac. of Autom., Guangdong Univ. of Technol., Guangzhou, China
Abstract :
This article proposes a method to identify fractures in human X-ray photos. According to the characteristics of X-ray image, the high-order statistical moments adopted to verify segmentation have been combined with partial threshold method to segment bone image. After the segmentation, mathematical morphology will be applied to extract the target border and cover the boundary of fractures. By superposing the target border image and covering the extracted skeleton, the precise location of fractures can be recognized and therefore the fractures in the X-ray photos will be identified.
Keywords :
X-ray imaging; feature extraction; image recognition; image segmentation; mathematical morphology; medical image processing; statistical analysis; X-ray image; bone image segmentation; fracture identification; fracture recognition; high-order statistical moments; mathematical morphology; target border extraction; Image edge detection; Image segmentation; Pattern recognition; Pixel; Skeleton; Wavelet analysis; X-ray imaging; Fracture identification; High-order statistical moments; Mathematical morphology; Partial threshold method; X-ray image;
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6530-9
DOI :
10.1109/ICWAPR.2010.5576438