DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded
A brain tumour is an abnormal growth of cells that are spontaneously grows in uncontrolled manner. We can divide tumors in according to how exponentially they developed i.e. growth rate, with lower-grade tumors often being begin and higher-grade tumors being malignant. Based on interpolation of low frequency sub band images obtained by discrete wavelet transform (DWT) and the input image, the brain tumor detection is obtained by using Haar wavelet transform. Database image is also decomposed by using Haar wavelet transform by two levels and this database image is compared with the input image by using Mutual information principle. Both input image and database image is decomposed into different sub bands by using DWT. Interpolation of low frequency sub bands as well as input image is done. The proposed technique that first one is data base image and another is the input image in which both are decomposed into several bands by using wavelet transform and their coefficients are stored into matrix form with the help of MATLAB and these coefficients are compared with the help of mutual information principle. Corrected interpolated high frequency sub-bands and interpolated input image are combined by using inverse DWT (IDWT), finally. Hence, we get a brain tumour detected output image.
