Title : ( A Novel Active Contour for Medical Image Segmentation )
Authors: Mahdi Saadatmand , H. Ghassemian ,
Full TextAbstract
In this paper, a novel parametric active contour is proposed for image segmentation. It integrates the wavelet transform and self-affine mapping system to effectively compute the external force of parametric active contours. For this purpose, after smoothing the image by a Gaussian kernel, the wavelet coefficients are computed. Then, sub-forces of each wavelet scale were computed by using contractive self-affine maps. Finally, the total self-affine force field was obtained by superposition of these sub-forces. Experimental results demonstrated the superior performance of the proposed algorithm compared to a number of frequently-used active contours for medical images.
Keywords
, active contours, wavelet transform, self-affine mapping system, medical image segmentation
@article{paperid:1030310,
author = {Saadatmand, Mahdi and H. Ghassemian},
title = {A Novel Active Contour for Medical Image Segmentation},
journal = {IEICE Electronics Express},
year = {2009},
volume = {6},
number = {23},
month = {December},
issn = {1349-2543},
pages = {1683--1689},
numpages = {6},
keywords = {active contours; wavelet transform; self-affine mapping system; medical image segmentation},
}
%0 Journal Article
%T A Novel Active Contour for Medical Image Segmentation
%A Saadatmand, Mahdi
%A H. Ghassemian
%J IEICE Electronics Express
%@ 1349-2543
%D 2009
