Discrimination Between Normal And Diseased Stomach Using Speckle Imaging

A.M. Hamed Physics

Abstract

We investigate the Gastroesophageal reflux disease (GERD)using the speckle imaging. The speckle images are computed from the convolution product of Fourier transform of the diffuser and Fourier spectrum of the original image. In addition, contour and digital images are given. This study is made since this disease is still affect a great cluster of peoples in the developed countries. The Mat- Lab code is used for the computation of speckle and other images.

Keywords

Speckle imaging, FFT algorithm, Mat- Lab code, digital images, Gastro esophageal reflux disease (GERD)

References

[1] D. Carmella, C. Bartolozzi - 2012 - Medical, 3D Image Processing: Techniques and Clinical Applications. https://books.google.com.eg/books?isbn=3642594387.

[2]Source: National Digestive Diseases, Information Clearinghouse (NDDIC) (http://digestive.niddk.nih.gov/statistics/statistics.aspx#sp edifice)

[3] R. Fass, G. Tougas,51 (2002) 885-892, Functional heartburn: the stimulus, the pain, and the brain, Gut.

[4] A.P. Hungin. S, Raghunath, A. S, Wiklund, I., FAM Pract., 22 (2005) 591-603, beyond heartburn: A Systematic review of the extra- esophageal spectrum of reflux-induced disease.

[5] T. Kaltenbach, S. Crockett, L.B. Gerson, Arch. Intern Med, 166 (2006) 965-971, Are lifestyle measures effective in patients with gastroesophageal reflux disease? an evidence-based approach,

[6] S. Santos, G.R. Udupi, and D. Santosh, International Journal of Computer Applications 42(2012)45, Los Angeles Classification of Esophagitis using Image Processing Techniques.

[7] D. Ahmadzadch, M. Fiuzy, and J. Haddadnia, J. Basic Appl. Sci. 3(2013) 243-251, Stomach cancer diagnosis, by using a combination of image processing algorithms, local binary pattern algorithm, and support vector machine.

Cites this article as

A. H. P. "Discrimination Between Normal And Diseased Stomach Using Speckle Imaging", International Journal of Innovative Research in Engineering & Management (IJIREM), Vol-3, Issue-2, Page No-125-133, 2016. Available from: