Open AccessEnhancement of MRI Prostate Image Using Histogram Equalization Techniques
Author(s) -
N. S. Gopinath,
A. Chinnasamy,
M. Suresh Anand,
V. Pandimurugan
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.a1019.1091s19
Subject(s) - histogram equalization , adaptive histogram equalization , histogram , artificial intelligence , computer vision , contrast (vision) , computer science , histogram matching , equalization (audio) , image (mathematics) , image histogram , image processing , color image , channel (broadcasting) , telecommunications
In this cutting edge world, Medical image processing in computerized field needs a compelling MRI image modality with less commotion and improved contrast of image. This is conceivable by utilizing image enhancement methodology. Image enhancement is referenced as a system of changing or altering image so as to make it progressively sensible for explicit applications and is utilized to enhance or improve contrast proportion, splendor of image, expel clamor from image and make it less hard to perceive. The purpose behind inclining toward Medical Resonance Imaging (MRI) is that it is a mind boggling medical technology which gives more useful information regarding malignancy, stroke and various another ailments. It helps the doctors to distinguish the diseases more adequately. MRI has exceptionally low difference proportion. To improve the contrast of MRI image, we utilized Histogram equalization technique. In which, Histogram Equalization, Local Histogram Equalization, Adaptive Histogram Equalization and Contrast Limited Adaptive Histogram Equalization techniques were used and it is pondered.