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논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2018.1
- 수록면
- 434 - 439 (6page)
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초록· 키워드
오류제보하기
The vast majority of medical images (CT, MRI) have a common characteristic of low contrast and poor details. Conventional enhancement techniques histogram equalization is difficult to achieve a satisfactory effect to the medical images. In this paper, an effective method is presented for improving the visual quality of the medical image. The basic idea of the proposed method is to extract important representative pixels by using the fuzzy c means clustering (FCM) algorithm, and then, the extracted representative pixels are transformed through a new intensity distribution by using a designed algorithm called linear scaling-up mapping function. The results show that the proposed method provides an excellent performance for the high contrast and rich detail features of medical images.
목차
Abstract
Ⅰ. INTRODUCTION
Ⅱ. HISTOGRAM EQUALIZATION
Ⅲ. PROPOSED METHOD
IV. EXPERIMENTS
V. CONCLUSION
REFERENCES
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