Color constancy allows visitors to recognize color in the diversity of conditions, and to see some regularity in the color. Generally, color constancy is a method of which calculates the particular impact involving discrete light sources using a digital image. The particular image documented with a camera is resolute by several components: the actual physical information with the picture, the particular illumination occurrence within the scene, as well as the features with the digital camera. Color based images have several applications. Retrieval based on object colors must take into an explanation the features that manipulate the pattern of color images: illumination conditions, sensor spectral sensibilities and surface reflectance. Tracking objects in environments under non-uniform lighting condition is mainly challenging as the practical appearance may alter in space and time [1]. We create an integrated effort of fuzzy membership with edge preserving filtering. As fuzzy membership exploits two classes because we make use of dual membership functions in the research work. In this paper, improved results have extracted for color constancy from optimal method based on fuzzy membership with edge preservation filtering. An evaluation of the proposed technique is also drawn with existing techniques, the comparisons have obviously shown that the fuzzy based color constancy outperforms over the available techniques.
목차
Abstract 1. Introduction 1.1. Benefits of Fuzzy Membership 2. Experimental Setup 2.1. Optimal Method 2.2. Data Set Description 3. Improved Experimental Results 3.1. Mean Square Error 3.2. Root Mean Square Error 3.3. Peak Signal to Noise Ratio 3.4. Normalized Cross-Correlation 3.5. Structural Content 3.6. Normalized Absolute Error 4. Comparative Analysis 5. Conclusion References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.6