A UNIFIED ENERGY APPROACH FOR B-SPLINE SNAKE IN MEDICAL IMAGE SEGMENTATION
Abstract: The parametric snake
is one of the preferred approaches in feature extraction from images because of
their simplicity and efficiency. However the method has also limitations. In
this paper an explicit snake that represented using BSpline applied for image
segmentation is considered. In this paper, we identify some of these problems
and propose efficient solutions to get around them. The proposed method is
inspired by classical snake from Kass with some adaption for parametric curve.
The paper also proposes new definitions of energy terms in the model to bring
the snake performance more robust and efficient for image segmentation. This
energy term unify the edge based and region based energy derived from the image
data. The main objective of developed work is to develop an automatic method to
segment the anatomical organs from medical images which is very hard and
tedious to be performed manually. After this segmentation, the anatomical
object can be further measured and analyzed to diagnose the anomaly in that
organ. The results have shown that the proposed method has been proven
qualitatively successful in segmenting different types of medical images.
Penulis: Agung Alfiansyah
Kode Jurnal: jptkomputerdd100041
