Automatic Segmentation of Leg Bones by Using Active Contours

Title
Automatic Segmentation of Leg Bones by Using Active Contours
Authors
김선희김영준박세형이득희
Keywords
image segmentation
Issue Date
2014-08
Publisher
IEEE Engineering in Medicine and Biology Society (EMBC)
Abstract
In this paper, we present a new active contours model to segment human leg bones in computed tomography images that is based on a variable-weighted combination of local and global intensity. This model can split an object surrounded by both weak and strong boundaries, and also distinguish very adjacent objects with those boundaries. The ability of this model is required for segmentation in medical images, e.g., human leg bones, which are usually composed of highly inhomogeneous objects and where the distances among organs are very close. We developed an evolution equation of a level set function whose zero level set represents a contour. An initial contour is automatically obtained by applying a histogram based multiphase segmentation method. We experimented with computed tomography images from three patients, and demonstrate the efficiency of the proposed method in experimental results.
URI
http://pubs.kist.re.kr/handle/201004/48478
Appears in Collections:
KIST Publication > Conference Paper
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE