Paper
15 November 2011 An improved interactive segmentation method for extracting the edge features of femur digital radiographs
Shaobin Sun, Bin Zhang, Shang Meng, Dan Liu, Jinwei Sun
Author Affiliations +
Proceedings Volume 8335, 2012 International Workshop on Image Processing and Optical Engineering; 83351X (2011) https://doi.org/10.1117/12.917605
Event: 2012 International Workshop on Image Processing and Optical Engineering, 2012, Harbin, China
Abstract
By comparing the advantages and disadvantages of two interactive image segmentation algorithms: level set and live wire, we propose a improved multi-step realization method of interactive image segmentation, which could help the operators to extract the important anatomical structure features from the femur digital radiographs (DR) images more accurately. Firstly, a preprocessing step including median filtering and image enhancement was made to eliminate the noise during the DR imaging; Secondly, with the advantages of level set such as simple operation and fast convergence rate, the coarse outline contour extraction was realized; Finally, with the advantages of live-wire such as repeated local operation and high precision, the fine contour extraction of special anatomic areas, the profile of fracture edge and the overlapping area was realized. So, all the interesting anatomical structure features of DR images were obtained. In this paper, our method was applied to the complete femur DR images and artificial fracture femur DR images. The segmentation result shows that our method has a good performance in accuracy and efficiency.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shaobin Sun, Bin Zhang, Shang Meng, Dan Liu, and Jinwei Sun "An improved interactive segmentation method for extracting the edge features of femur digital radiographs", Proc. SPIE 8335, 2012 International Workshop on Image Processing and Optical Engineering, 83351X (15 November 2011); https://doi.org/10.1117/12.917605
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Radiography

Image processing algorithms and systems

Surgery

Edge detection

Image processing

Medical imaging

Back to Top