Feature Detection and Analysis of Alzheimer’s disease using Gabor Filter

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2015 by IJCTT Journal
Volume-29 Number-2
Year of Publication : 2015
Authors : Navneet kour, Rajesh Mehra
  10.14445/22312803/IJCTT-V29P114

MLA

Navneet kour, Rajesh Mehra "Feature Detection and Analysis of Alzheimer’s disease using Gabor Filter". International Journal of Computer Trends and Technology (IJCTT) V29(2):74-79, November 2015. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract -
This paper presents an insight about detecting Alzheimer’s disease by comparing the images of the affected brain with the images of the healthy brain. Also the Gabor filter has been employed for the detection of features of the various images because Gabor filters provide more accurate edge detection and the comparison for disease detection can be done more accurately. Medical science employs many digital techniques which are very expensive and is quite serpentine due to their requirement of sophisticated software and expert human resource. This paper highlights an improved and a simple, very easy to use, visualization program which is specially designed in a software called MATLAB for the detection of mental and psychological disorder called Alzheimer’s disease as earliest as possible. The filtered images of the healthy brain and the diseased brain are compared and analyzed then the differences between the two are also brought out in terms of parameters like histogram calculation, Euclidean distance calculation.

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Keywords
Diseases, Gabor filters, Mental disorders, MATLAB, Edge detection.