On the use of edge orientation and distance for content-based image retrieval
學年 94
學期 1
發表日期 2005-10-13
作品名稱 On the use of edge orientation and distance for content-based image retrieval
作品名稱（其他語言）
著者 Lin, Hwei-jen; Kao, Yang-ta; Liang, Feng-ming; Liu, Ta-wei; Pai, Yi-chun
作品所屬單位 淡江大學資訊工程學系
出版者 Institute of electrical and electronics engineers (IEEE)
會議名稱 2005 International Conference on Neural Networks and Brain (ICNN&B '05)
會議地點 Beijing, China
摘要 Recently, various features for content-based image retrieval (CBIR) have been proposed, such as texture, color, shape, and spatial features. In this paper we propose a new feature, called orientation-distance histogram for CBIR. Firstly, we transform the RGB color model of a given image to the HSI color model and detect edge points by using the H-vector information. Secondly, we evaluate the orientation-distance histogram from the edge points to form a feature vector. After normalization of feature, our proposed method can cope with most problems of variations in image. Finally, we show some results of query for real life images with the precision and recall rates to measure the performance. The experimental results show that the proposed retrieval method is efficient and effective
關鍵字
語言 en
收錄於 EI
會議性質 國際
校內研討會地點
研討會時間 20051013~20051015
通訊作者
國別 CHN
公開徵稿 Y
出版型式 紙本
出處 Proceedings of the 2005 International Conference on Neural Networks and Brain, V.2, pp.1150-1155
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