In this paper, the disappearing daur culture and its color of traditional craftwork are surveyed and classified. By reviewing the relevant literature and video data, the RGB color module of single utensil and visual recognition image are selected to represent the pattern of this craftwork of daur. Specially, color quantization is achieved by feature extracting for the building of color database based on which a further color message classification is accomplished. Finally, fuzzy clustering is conducted to compute the complexity of color which also verifies its high precision.
목차
Abstract 1. Introduction 2. Mathematical Model of Fuzzy Clustering Analysis 3. Steps Cluster Analysis 4. Color Samples Collection 4.1. Research Preparation 4.2. Test Environment 4.3. Sample Classification 4.4. Contrast of Color Cards 4.5. Color Information Extraction 4.6. Standard Quantization of Color Features 4.7. Fuzzy Clustering Samples Match 5. Establish Fuzzy Similar Color Matrix 6. Conclusion 7. References 7.1. Book
키워드
DaurFuzzy ClusteringColor InformationPrecision
저자
Zhuo Bian [ Art Academy of Northeast Agriculture University, Harbin 150001, China ]
Y.W Zhang [ Art Academy of Northeast Agriculture University, Harbin 150001, China ]
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.8 No.3