An orthopedic X -ray captures bone images along with surrounding flesh and muscle components. Segmentation of the bone component with a sharp contour is a challenging task as the bone and flesh regions often have pixels with overlapping intensity range. In this paper, we propose a new technique of contour extraction by integrating an entropy-based segmentation approach with adaptive thresholding. The method eliminates the shortcomings of earlier derivative or deformable model based approaches, and can be fully automated. Experiments with several digital X -ray images reveal encouraging results especially for long-bone X -ray images. © Springer-Verlag 2013.
CITATION STYLE
Bandyopadhyay, O., Biswas, A., Chanda, B., & Bhattacharya, B. B. (2013). Bone contour tracing in digital X-ray images based on adaptive thresholding. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8251 LNCS, pp. 465–473). https://doi.org/10.1007/978-3-642-45062-4_64
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