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Automatic Isolation of Carpal-Bone in Hand X-Ray Medical Image

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Book cover Informatics and Management Science I

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 204))

Abstract

A general segmentation method for automatic isolating the carpal-bone in an X-ray DICOM medical image was proposed in this paper. As the recognition and separation of individual carpal-bone from the image is a difficult task, to achieve this, the main algorithms in our solution include edge detection, region of interest area extracting, segment the bones and count the carpal-bone. The results show that the general segmentation methods can provide a robust and accurate method for automatic segmentation the carpal bone in X-ray hand images.

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References

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Correspondence to Shengnan Hao .

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© 2013 Springer-Verlag London

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Hao, S., Han, Y., Zhang, J., Ji, Z. (2013). Automatic Isolation of Carpal-Bone in Hand X-Ray Medical Image. In: Du, W. (eds) Informatics and Management Science I. Lecture Notes in Electrical Engineering, vol 204. Springer, London. https://doi.org/10.1007/978-1-4471-4802-9_86

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  • DOI: https://doi.org/10.1007/978-1-4471-4802-9_86

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4801-2

  • Online ISBN: 978-1-4471-4802-9

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