Region filtering using color and texture features for image retrieval

Cheng Chieh Chiang*, Ming Han Hsieh, Yi Ping Hung, Greg C. Lee


研究成果: 雜誌貢獻會議論文同行評審

7 引文 斯高帕斯(Scopus)


This paper presents a region-based image retrieval (RBIR) system in which users can choose specific regions as the query. Our goal is to assist the user to formulate more precise queries with which the retrieval system can focus on the user's interested part. In this work, images are partitioned into a set of regions by using the watershed segmentation. Color-size histogram and Gabor texture features are extracted from each watershed region. We propose a scheme of region filtering based on individual features, rather than integrating different features, to reduce the computational load of the image retrieval. This paper also defines the dissimilarity measure of images, and therefore relevance feedback is used for improving our retrieval. Finally we describe some experimental results of our RBIR system.

頁(從 - 到)487-496
期刊Lecture Notes in Computer Science
出版狀態已發佈 - 2005
事件4th International Conference on Image and Video Retrieval, CIVR 2005 - , 新加坡
持續時間: 2005 7月 202005 7月 22

ASJC Scopus subject areas

  • 理論電腦科學
  • 一般電腦科學


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