지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2014.10
- 수록면
- 692 - 697 (6page)
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초록· 키워드
오류제보하기
Retinal fundus image is important for ophthalmologist to identify and detect many vision-related diseases, such as diabetes and hypertension. From an acquisition process, retinal images often have low gray level contrast and low dynamic range. This paper proposes a method using improved nonlinear hue-saturation-intensity color model(iNHSI) to preserve color information of the retinal images. The intensity component is enhanced by Rayleigh transformation in contrast-limited adaptive histogram equalization (Rayleigh CLAHE) algorithm. This algorithm help to increase the contrast and improve the overall appearance. The proposed algorithm was tested by using standard public database for benchmarking diabetic retinopathy detection from digital image. The proposed method can preserve the original hue component unchanged; because, the hue information of the input images is important to ophthalmologist in diagnosis process.
목차
Abstract
1. INTRODUCTION
2. PROPOSED ALGORITHM
3. EXPERIMENTAL RESULTS
4. CONCLUSIONS AND DISCUSSION
5. ACKNOWLEDGMENT
REFERENCES
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