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A Study on Sift & Hog Descriptors for Alzheimer's Disease Detection

Author(s):

S. Ameer Nisha , SADAKATHULLAH APPA COLLEGE; S. Shajun Nisha, SADAKATHULLAH APPA COLLEGE

Keywords:

Brain MRI, Alzheimer's disease, Image Registration, Magnetic Resonance Imaging, SIFT & HOG

Abstract

Medical imaging has become a major tool in clinical trials since it enables rapid diagnosis with visualization and quantitative assessment. In the study, a detecting method of brain abnormality is proposed through magnetic resonance imaging. Very tiny and minute structural difference of brain may gradually & slowly results in major disorder of brain which may cause Alzheimer’s disease. Here the primary focus is given for detection & diagnosis of Alzheimer's disease. This paper introduces a simple user friendly GUI based application for detection of Alzheimer's disease by processing images of brain by taking MRI scanned images of brain as input data source, and analyzing its morphological abnormalities for the diagnosis. Sift descriptor and hog descriptor are very good features to use among the existing techniques to detect the disease.

Other Details

Paper ID: IJSRDV5I40182
Published in: Volume : 5, Issue : 4
Publication Date: 01/07/2017
Page(s): 207-210

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