http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
류명분,우석훈,박동권,원치선 한국방송공학회 1996 한국방송공학회 학술대회 Vol.1 No.1
In this paper, we propose a new content-based color image retrieval algorithm. The algorithm makes use of two features colors as global features and block classification results as local features. More specifically, we obtain R, G, B color histograms and classify nonoverlapping small image blocks into texture, monotone, and various edges, then using these histograms and classifiction results we make a similarity measure. Experimental results show that retrieval rate of the proposed algorithm is higher than the previous method.
류명분,우석훈,박동권,원치선 대한전자공학회 1997 電子工學會論文誌, S Vol.s34 No.12
In this paper, we propose a new image retrieval algorithm using the block classification. More specifically, we classify nonoverlappint small image blocks into texture, monotone, and various edges. Using these classification results and the RGB color histogram, we propose a new similarity measure which considers both local and global fretures. According to our experimental results using 232 color images, the retrieval efficiencies of the proposed and the previous methods were 0.610 and 0.522, respectively, which implies that the proposed algorithm yields better performance.