TITLE:
Medical Image Segmentation Based on Wavelet Analysis and Gradient Vector Flow
AUTHORS:
Ji Zhao, Lina Zhang, Minmin Yin
KEYWORDS:
Pattern Recognition, Image Segmentation, GVF Snake Model, Wavelet Multi-Scale Analysis, Medical Image
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.7 No.12,
November
21,
2014
ABSTRACT: Medical image segmentation
is one of the key technologies in computer aided diagnosis. Due to the
complexity and diversity of medical images, the wavelet multi-scale analysis is
introduced into GVF (gradient vector flow) snake model. The modulus values of
each scale and phase angle values are calculated using wavelet transform, and
the local maximum points of modulus values, which are the contours of the
object edges, are obtained along phase angle direction at each scale. Then, location
of the edges of the object and segmentation is implemented by GVF snake model.
The experiments on some medical images show that the improved algorithm has
small amount of computation, fast convergence and good robustness to noise.