원문정보
보안공학연구지원센터(IJSEIA)
International Journal of Software Engineering and Its Applications
Vol.9 No.3
2015.03
pp.137-146
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper, we propose a fuzzy based histogram equalization method. We adopt Kaufmann’s measure of fuzziness concept for histogram equalization. The main idea of this paper is to use and assess fuzziness. The proposed histogram equalization method is applied to Y channel of YUV, which is transformed signal from RGB image. The obtained and improved Y channel is rejoined to the other I and Q signals and retransformed to RGB image. The objective and the visual performance are compared in simulation results section.
목차
Abstract
1. Introduction
2. Proposed Method
2.1. RGB to YUV Conversion
2.2. Proposed Histogram Equalization with Degree of Fuzziness
3. Simulation Results
4. Conclusions
Acknowledgements
References
1. Introduction
2. Proposed Method
2.1. RGB to YUV Conversion
2.2. Proposed Histogram Equalization with Degree of Fuzziness
3. Simulation Results
4. Conclusions
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보