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

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


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.

[1] Anirban Saha,PSJ Kumar, “Improved digital image processing based detection for alzheimer’s disease using matlab”, International Journal of Advances in Arts, Sciences and Engineering, Page no.2, Volume 3 Issue 6 jan 2015.
[2] Patil, K K, SD Giripunje, and PR Bajaj, “Facial expression recognition and head tracking in video using gabor filter”,2010 3rd international conference on emerging trends in engineering and technology.
[3] Rucha D. Thakur, “Real Time VHDL Design of High Speed Gabor Filter for Disease Detection”, International Journal of Advanced Research in Computer Science and Software Engineering, Page no. 1,Volume 4, Issue 12, December 2014.
[4] R. Vinothkanna, Amitabh Wahi, “A Novel Approach for Extracting Fingerprint Features from Blurred Images”, International Journal of Soft Computing and Engineering (IJSCE), Page no. 1,Volume-2, Issue-2, May 2012.
[5] Baulkani,S. Ganesan, L. “Multiresolution Filter Based Image Database Retrieval” International Conference on Computational Intelligence and Multimedia Applications, 2007 , Volume 4.
[6] Muhammad younus javed, syed maajid mohsin and Muhammad almas anjum, “Feature Based Sliding Window technique for face recognition”, Second International Conference on Digital Image Processing, February 26, 2010.
[7] R.Vinothkanna,Dr.AmitabhWahi, “An Efficient Method for Extracting Features from Blurred Fingerprints Using Modified Gabor Filter”,International Journal of Electronics and Computer Science Engineering , Page no. 3,Volume1,Number 4.
[8] Rupinder Verma, Rajesh Mehra, “Area Efficient FPGA Implementation of Sobel Edge Detector for Image Processing Applications”, International Journal of Computer Applications, Page No. 2, Volume 56– No.16, October 2012.
[9] Buddhi Prakash Sharma , Rajesh Rana , Rajesh Mehra, “Face Recognition Using Gabor Wavelet for Image Processing Applications”, Proc. of Int. Conf. on Emerging Trends in Engineering and Technology.
[10] Naik Durgesh Manikrao , Dr. Prof. A.J.Vyavahare, “Disease Detection of Cotton crop using Image Processing Technique: A Survey”, International Journal for Research in Applied Science & Engineering Technology, Volume 3 Issue VI, June 2015.
[11] Payal Aggarwal, Rajesh Mehra, “High Speed CT Image Reconstruction using FPGA”, International Journal of Computer Applications Volume 22– No.4, May 2011.
[12] Nidhi Rastogi, Rajesh Mehra, “Analysis of Butterworth and Chebyshev Filters for ECG Denoising Using Wavelets”, IOSR Journal of Electronics and Communication Engineering Volume 6, Issue 6, Jul. - Aug. 2013.
[13] Debabrata Samanta, Prajna Paramita Chaudhury, Arya Ghosh, “Scab Disease Detection of Potato Using Image Processing”, International Journal of Computer Trends and Technology(IJCTT), Page no. 3, Volume 3, Issue 1, 2012.

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