Content-Based Image Retrieval Using Multiple Features
Chi Zhang
; School of Economics and Management, Beijing Jiaotong University, Beijing, China
Lei Huang
; School of Economics and Management, Beijing Jiaotong University, Beijing, China
APA 6th Edition Zhang, C. i Huang, L. (2014). Content-Based Image Retrieval Using Multiple Features. Journal of computing and information technology, 22 (LISS 2013), 1-10. https://doi.org/10.2498/cit.1002256
MLA 8th Edition Zhang, Chi i Lei Huang. "Content-Based Image Retrieval Using Multiple Features." Journal of computing and information technology, vol. 22, br. LISS 2013, 2014, str. 1-10. https://doi.org/10.2498/cit.1002256. Citirano 25.01.2021.
Chicago 17th Edition Zhang, Chi i Lei Huang. "Content-Based Image Retrieval Using Multiple Features." Journal of computing and information technology 22, br. LISS 2013 (2014): 1-10. https://doi.org/10.2498/cit.1002256
Harvard Zhang, C., i Huang, L. (2014). 'Content-Based Image Retrieval Using Multiple Features', Journal of computing and information technology, 22(LISS 2013), str. 1-10. https://doi.org/10.2498/cit.1002256
Vancouver Zhang C, Huang L. Content-Based Image Retrieval Using Multiple Features. Journal of computing and information technology [Internet]. 2014 [pristupljeno 25.01.2021.];22(LISS 2013):1-10. https://doi.org/10.2498/cit.1002256
IEEE C. Zhang i L. Huang, "Content-Based Image Retrieval Using Multiple Features", Journal of computing and information technology, vol.22, br. LISS 2013, str. 1-10, 2014. [Online]. https://doi.org/10.2498/cit.1002256
Sažetak Algorithms of Content-Based Image Retrieval (CBIR) have been well developed along with the explosion of information. These algorithms are mainly distinguished based on feature used to describe the image content. In this paper, the algorithms that are based on color feature and texture feature for image retrieval will be presented. Color Coherence Vector based image retrieval algorithm is also attempted during the implementation process, but the best result is generated from the algorithms that weights color and texture. 80% satisfying rate is achieved.