Machine vision
Tooth Contour Extraction for Matching Dental Radiographs
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Detecting Femur Fractures by Texture Analysis of Trabeculae
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Genetic model-based segmentation of chest x-ray images using free form deformations
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Automatic extraction of femur contours from hip x-ray images
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Segmentation of 3d CT volume images using a single 2d atlas
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Dynamic directional gradient vector flow for snakes
IEEE Transactions on Image Processing
Computer Science - Research and Development
Crack detection in X-ray images using fuzzy index measure
Applied Soft Computing
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Segmentation of femurs in Anterior-Posterior x-ray images is very important for fracture detection, computer-aided surgery and surgical planning. Existing methods do not perform well in segmenting bones in x-ray images due to the presence of large amount of spurious edges. This paper presents an atlas-based approach for automatic segmentation of femurs in x-ray images. A robust global alignment method based on consistent sets of edge segments registers the whole atlas to the image under joint constraints. After global alignment, the femur models undergo local refinement to extract detailed contours of the femurs. Test results show that the proposed algorithm is robust and accurate in segmenting the femur contours of different patients.