Open AccessMedical Image Enhancement to Extract Brain Tumors from CT and MRI images
Author(s) -
Hadeel Moutaz Al-Dabbas,
Ameer Hussian Morad
Publication year - 2019
Publication title -
iraqi journal of science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.152
H-Index - 4
eISSN - 2312-1637
pISSN - 0067-2904
DOI - 10.24996/ijs.2019.60.8.19
Subject(s) - preprocessor , artificial intelligence , computer science , noise reduction , computer vision , filter (signal processing) , segmentation , pattern recognition (psychology) , image (mathematics) , median filter , image quality , non local means , image denoising , image processing
Always MRI and CT Medical images are noisy so that preprocessing is necessary for enhance these images to assist clinicians and make accurate diagnosis. Firstly, in the proposed method uses two denoising filters (Median and Slantlet) are applied to images in parallel and the best enhanced image gained from both filters is voted by use PSNR and MSE as image quality measurements. Next, extraction of brain tumor from cleaned images is done by segmentation method based on k-mean. The result shows that the proposed method is giving an optimal solution due to denoising method which is based on multiple filter types to obtain best clear images and that is leads to make the extraction of tumor more precision best.