Abstract
In this paper, we present a new Multiscale segmentation method based on an optical transfer function implemented in the Frequency domain and with this new segmentation technique, we demonstrate that it is possible to segment the HRCT (High Resolution CT) images into its various components at multiple scales hence separating the information available in the HRCT image. In the literature, several image segmentation techniques have been proposed for the segmentation of the medical images. However, there are few Multiscale segmentation methods that can segment the medical image so that various components within the image could be separated at multiple resolutions or scales. We show that the HRCT image can be segmented such that we get separate images for bones, tissues, lungs and anatomical struc-tures within the lungs.
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© 2005 Springer-Verlag Berlin Heidelberg
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Malik, A.S., Choi, TS. (2005). Multiscale Segmentation of HRCT Images Using Bipolar Incoherent Filtering. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_10
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DOI: https://doi.org/10.1007/11595755_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30750-1
Online ISBN: 978-3-540-32284-9
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