한국컴퓨터정보학회:학술대회논문집 (Proceedings of the Korean Society of Computer Information Conference)
- 한국컴퓨터정보학회 2019년도 제59차 동계학술대회논문집 27권1호
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- Pages.83-86
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- 2019
히스토그램 평형 기법을 이용한 자기 공명 두뇌 영상 콘트라스트 향상
Magnetic Resonance Brain Image Contrast Enhancement Using Histogram Equalization Techniques
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- 이수현
- Ullah, Zahid (Department of Computer Engineering Changwon National University) ;
- Lee, Su-Hyun (Department of Computer Engineering Changwon National University)
- 발행 : 2019.01.16
초록
Histogram equalization is extensively used for image contrast enhancement in various applications due to its effectiveness and its modest functions. In image research, image enhancement is one of the most significant and arduous technique. The image enhancement aim is to improve the visual appearance of an image. Different kinds of images such as satellite images, medical images, aerial images are affected from noise and poor contrast. So it is important to remove the noise and improve the contrast of the image. Therefore, for this purpose, we apply a median filter on MR image as the median filter remove the noise and preserve the edges effectively. After applying median filter on MR image we have used intensity transformation function on the filtered image to increase the contrast of the image. Than applied the histogram equalization (HE) technique on the filtered image. The simple histogram equalization technique over enhances the brightness of the image due to which the important information can be lost. Therefore, adaptive histogram equalization (AHE) and contrast limited histogram equalization (CLAHE) techniques are used to enhance the image without losing any information.