Active Contour Segmentation using Level Set Function with Enhanced Image from Prior Intensity

Title
Active Contour Segmentation using Level Set Function with Enhanced Image from Prior Intensity
Authors
김선희김영준이득희박세형
Keywords
Image enhancement; Image segmentation
Issue Date
2015-08
Publisher
IEEE Engineering in Medicine and Biology Society (EMBC)
Citation
, 1-4
Abstract
Abstract—This paper presents a new active contour segmentation model using a level set function that can correctly capture both the strong and the weak boundaries of a target enclosed by bright and dark regions at the same time. We introduce an enhanced image obtained from prior information about the intensity of the target. The enhanced image emphasizes the regions where pixels have intensities close to the prior intensity. This enables a desirable segmentation of an image having a partially low contrast with the target surrounded by regions that are brighter or darker than the target. We define an edge indicator function on an original image, and local and regularization forces on an enhanced image. An edge indicator function and two forces are incorporated in order to identify the strong and weak boundaries, respectively. We established an evolution equation of contours in the level set formulation and experimented with several medical images to show the performance of the proposed method.
URI
http://pubs.kist.re.kr/handle/201004/50302
Appears in Collections:
KIST Publication > Conference Paper
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