HIGH RESOLUTION MRI BRAIN IMAGE
SEGMENTATION TECHNIQUE USING
HOLDER EXPONENT
M. Ganesh1
and Dr. V. Palanisamy2
1ECE, Info Institute of Engineering, Anna University, Chennai, India 2Principal, Info Institute of Engineering, Anna University, Chennai, India
ABSTRACT
Image segmentation is a technique to locate certain objects or boundaries within an image. Image
segmentation plays a crucial role in many medical imaging applications. There are many algorithms and
techniques have been developed to solve image segmentation problems. Spectral pattern is not sufficient in
high resolution image for image segmentation due to variability of spectral and structural information.
Thus the spatial pattern or texture techniques are used. Thus the concept of Holder Exponent for
segmentation of high resolution medical image is an efficient image segmentation technique. The proposed
method is implemented in Matlab and verified using various kinds of high resolution medical images. The
experimental results shows that the proposed image segmentation system is efficient than the existing
segmentation systems.
KEYWORDS
Holder Exponent, Gabor Filter, Clustering, Image Transformation, Morphological Operation.
Original Source URL : http://airccse.org/journal/ijsc/papers/3412ijsc04.pdf
No comments:
Post a Comment