Friday, 15 July 2022

High Resolution Mri Brain Image Segmentation Technique Using Holder Exponent

M. Ganesh and V. Palanisamy, Anna University, 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: https://airccse.org/journal/ijsc/papers/3412ijsc04.pdf

https://airccse.org/journal/ijsc/current2012.html

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