International Journal of Biotechnology Research Vol. 3(1), pp. 010-020, January 2015 ISSN 2328-3505 ©2015 Academe Research Journals

Full Length Research Paper

De-noising of medical images by using some filters

Arin H. Hamad, Hozheen O. Muhamad and Sardar P. Yaba*

Physics Department, Education College, Salahaddin University-Erbil, Iraqi Kurdistan - Iraq.

*Corresponding author. E-mail: sardarba@gmail.com.

Accepted 5 August, 2014

Abstract

Removal of noise from the medical images was done using different filters. MATLAB programming software was used as implementation codes to investigate this fact. Selected images were split into two different formats: JPG and TIF. Some images have noise by different types of noise. Different noises have been considered in this research, and they are: Poisson, speckle and Gaussian. De-noising techniques (using MATLAB programming) were used to restore the mentioned noises on the images. Different types of filters were used to remove the noises such as Average filter, Gaussian filter, Log filter, Median filter, and Wiener filter. At the final stage, the results of the mentioned filters were compared to get the best and suitable filter for the images of the cell and breast. Image quality parameters: MSE, SNR, and PSNR were considered as the main parameters for the comparison. The results verified that the Gaussian filter is a suitable filter to remove the noise in the medical images.

Key words: Medical images, noises, filter, de-noise.