Parametric architecture for function calculation improvement
ARCS'07 Proceedings of the 20th international conference on Architecture of computing systems
Vertebral mobility analysis using anterior faces detection
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
A new approach for cervical vertebrae segmentation
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
Image segmentation of cervical vertebra in X-ray radiographs using the curve fitting strategy
Proceedings of the 2011 ACM Symposium on Applied Computing
A framework of vertebra segmentation using the active shape model-based approach
Journal of Biomedical Imaging
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This report addresses the issues involved in developing a robust segmentation technique capable of finding the location and orientation of the cervical vertebrae in x-ray images. This technique should be invariant to rotation, scale, noise, occlusions and shape variability. A customized approach, based on the Generalized Hough transform (GHT), that captures shape variability and exploits shape information embedded in the accumulator structure to overcome noise and occlusions is proposed. This approach effectively finds estimates of the location and orientation of the cervical vertebrae boundaries in digitized x-ray images