TY  - JOUR
T1  - Localized Region Based Active Contour Algorithm for Segmentation of
Abdominal Organs and Tumors in Computer Tomography Images
AU - Kumar, S.N. AU - Lenin Fred, A. AU - Lalitha Kumari, S. AU - Sebastian Varghese, P. 
JO  - Asian Journal of Information Technology
VL  - 15
IS  - 23
SP  - 4783
EP  - 4789
PY  - 2016
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2016.4783.4789
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2016.4783.4789
KW  - Image segmentation
KW  -curve evolution
KW  -filtering
KW  -level set methods
KW  -region
AB  - This study presents a localized region based lankton algorithm with decision median filter for the
segmentation of abdominal organs and tumors in CT images. Active contour algorithms based on discrete
representation of implicit functions are widely used in medical image segmentation. The decision median filter
can filter the gaussian noise and impulse noise efficiently than conventional spatial domain filters with better
edge preservation. A comparative analysis of various active contour models is done and the decision median
filter based lankton segmentation algorithm gives best result. The performance of the proposed segmentation
algorithm was evaluated in terms of metrics like dice coefficient and hausdorff distance. The proposed algorithm
effectively segments the abdominal organs and tumors in computer tomography images with well-defined
boundaries.
ER  -