Y. Zimmer et al., A 2-DIMENSIONAL EXTENSION OF MINIMUM CROSS-ENTROPY THRESHOLDING FOR THE SEGMENTATION OF ULTRASOUND IMAGES, Ultrasound in medicine & biology, 22(9), 1996, pp. 1183-1190
Citations number
13
Categorie Soggetti
Radiology,Nuclear Medicine & Medical Imaging",Acoustics
Segmentation is often an important step in medical image analysis. The
local entropy is a possible variable for segmenting ultrasound images
containing fluid surrounded by a soft tissue. A commonly used tool fo
r image segmentation is thresholding. Recently, a new thresholding tec
hnique, known as ''minimum cross entropy thresholding'' (MCE), has bee
n proposed. We present a multivariate extension of MCE in which the se
gmented variable (gray level) is replaced by a weighted combination of
several image parameters. We propose to use a bivariate extension of
MCE, which uses a linear combination of the gray level and the local e
ntropy. The results obtained are demonstrated for ultrasound images of
ovarian cysts. Copyright (C) 1996 World Federation for Ultrasound in
Medicine & Biology.