|
An improved implementation
of brain tumor detection using segmentation based on soft
computing
T. Logeswari1* and M. Karnan2
1Mother
Teresa Women’s College, Kodaikanal Tamil Nadu, India.
2College
of Engineering, Anna University, Coimbatore, Tamil Nadu,
India
*Corresponding author. E-mail:
saralogu4uin@gmail.com.
Accepted
20 November, 2009 |
|
Image segmentation is an important and challenging factor in
the medical image segmentation. This paper describes
segmentation method consisting of two phases. In the first
phase, the MRI brain image is acquired from patients
database, In that film, artifact and noise are removed after
that HSom is applied for image segmentation. The HSom is the
extension of the conventional self organizing map used to
classify the image row by row. In this lowest level of
weight vector, a higher value of tumor pixels, computation
speed is achieved by the HSom with vector quantization.
Key words:
Image analysis, segmentation, HSOM, tumor detection. |
