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Proceedings Paper

A novel multiscale segmentation method for HRCT images
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Paper Abstract

In medical area, many image segmentation methods have been proposed for the segmentation of the medical image. 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. In this paper, we present a new algorithm for multiscale segmentation of high-resolution computed tomography (HRCT) images. With this new segmentation technique, we demonstrate that it is possible to segment the HRCT images into its various components at multiple scales hence separating the information available in HRCT image. We show that the HRCT image can be segmented such that we get separate images for bones, tissues, lungs and anatomical structures within lungs. The processing is done in frequency domain using the Discrete Cosine Transform (DCT).

Paper Details

Date Published: 15 September 2008
PDF: 8 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70731W (15 September 2008); doi: 10.1117/12.798245
Show Author Affiliations
Soon-Chul Park, Gwangju Institute of Science and Technology (Korea, Republic of)
Tae-Sun Choi, Gwangju Institute of Science and Technology (Korea, Republic of)

Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

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