Chiang, Cheng-ChiehCheng-ChiehChiangYI-PING HUNGYang, HsuanHsuanYangLee, Greg C.Greg C.Lee2009-04-292018-07-052009-04-292018-07-05200910473203http://ntur.lib.ntu.edu.tw//handle/246246/154601https://www.scopus.com/inward/record.uri?eid=2-s2.0-61749096344&doi=10.1016%2fj.jvcir.2009.01.001&partnerID=40&md5=89ebd8afdf5dcb4357f27defb4dabbe4This paper presents a region-based image retrieval system that provides a user interface for helping to specify the watershed regions of interest within a query image. We first propose a new type of visual features, called color-size feature, which includes color-size histogram and moments, to integrate color and region-size information of watershed regions. Next, we design a scheme of region filtering that is based on color-size histogram to fast screen out some of most irrelevant regions and images for the preprocessing of the image retrieval. Our region-based image retrieval system applies the Earth Mover's Distance in the design of the similarity measure for image ranking and matching. Finally, we present some experiments for the color-size feature, region filtering, and retrieval results that demonstrate the efficiency of our proposed system. © 2009 Elsevier Inc. All rights reserved.application/pdf3223132 bytesapplication/pdfen-USColor-size feature; Content-based image retrieval; Earth mover's distance; Region filtering; Region-based image retrieval; Visual featureColor; Content based retrieval; Feature extraction; Landforms; User interfaces; Watersheds; Content-based image retrieval; Earth mover's distance; Region filtering; Region-based image retrieval; Visual feature; Information retrievaljournal article10.1016/j.jvcir.2009.01.0012-s2.0-61749096344http://ntur.lib.ntu.edu.tw/bitstream/246246/154601/1/27.pdf