UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIRC006106


Registration ID:
184275

Page Number

601-607

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Title

BRAIN TUMOR DIAGNOSIS ON FUSED IMAGE USING SVM CLASSIFIER

Abstract

Image fusion is a method of combining two images of different modalities in order to obtain the corresponding details from both the images with less loss. This increases the human visual perception on the corresponding images. This work gives wavelet transform on the given set of source images here CT and MRI. CT provides huge information on the hard tissues like bones and MRI provides information on the soft tissues like muscles. Therefore, fusing the CT and MRI images, the resultant image gives information on both hard and soft tissues. The fusion can be done with the help of fusion rules such as meanmax and maximum selection rule. Segmentation of the fused image is proposed by using K-means clustering before that binarization of the image by Otsu’s thresholding is achieved. Extract the features using DWT. PCA is applied to reduce the extracted features. Texture analysis can be done with the help of GLCM and the properties such as contrast, correlation, energy, homogeneity and mean are taken as features. These features are given to SVM classifier in order to classify whether it is normal or abnormal

Key Words

Discrete wavelet transform, Computed tomography, Magnetic resonance imaging, Principal component analysis, Gray level co-occurance matrix, Support vector machine.

Cite This Article

"BRAIN TUMOR DIAGNOSIS ON FUSED IMAGE USING SVM CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.601-607, June-2018, Available :http://www.jetir.org/papers/JETIRC006106.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"BRAIN TUMOR DIAGNOSIS ON FUSED IMAGE USING SVM CLASSIFIER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp601-607, June-2018, Available at : http://www.jetir.org/papers/JETIRC006106.pdf

Publication Details

Published Paper ID: JETIRC006106
Registration ID: 184275
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 601-607
Country: -, -, -- .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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