Image Retrieval is the basic requirement of today’s life in present scenario. Because of huge amount of different types of images are added in database from different sources for retrieval of the image, different kinds of processing is required to extract the relevant features from them. In this paper, comparisons of combination texture and shape features are done with texture Gray Level Co- occurrence Matrix and Hu-moments and the combination of tamura texture and shape invariant Hu- moments. For the performance evaluation of the system we use most commonly used methods namely precision and recall.
목차
Abstract 1. Introduction 2. Related Work in this Field 3. Feature Extraction 3.1. Feature Extraction Based on Texture 3.2. Feature Extraction Based on Shape 4. Proposed Methodology 4.1. Algorithm for Proposed Methodology 5. Similarity Measurement 6. Experimental Results 7. Conclusion References
키워드
Content Based Image Retrieval (CBIR)Gray Level Co-occurrence Matrix
저자
Neelima Bagri [ Department of CSE/IT Madhav Institute of Technology and Science Gwalior, Madhya Pradesh, India ]
Punit Kumar Johari [ Department of CSE/IT Madhav Institute of Technology and Science Gwalior, Madhya Pradesh, India ]
보안공학연구지원센터(IJAST) [Science & Engineering Research Support Center, Republic of Korea(IJAST)]
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 Advanced Science and Technology
간기
월간
pISSN
2005-4238
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Advanced Science and Technology Vol.80