Enhancement of MRI Prostate Image Using Histogram Equalization Techniques
N. Gopinath1, A. Chinnasamy2, M. Suresh Anand3, V. Pandimurugan4
1N. Gopinath, Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai (Tamil Nadu), India.
2A. Chinnasamy, Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai (Tamil Nadu), India.
3M. Suresh Anand, Department of Computer Science Engineering, Sri Sairam Engineering College, Chennai (Tamil Nadu), India.
4V. Pandimurugan, Department of Information Technology, Hindustan Institute of Technology, Chennai (Tamil Nadu), India.
Manuscript received on 24 November 2019 | Revised Manuscript received on 07 December 2019 | Manuscript Published on 14 December 2019 | PP: 96-101 | Volume-9 Issue-1S October 2019 | Retrieval Number: A10191091S19/19©BEIESP | DOI: 10.35940/ijeat.A1019.1091S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Medical image processing, MRI Prostate image, Image enhancement, Histogram Equalization, Local Histogram Equalization, Adaptive Histogram Equalization and Contrast Limited Adaptive Histogram.
Scope of the Article: Image Security