Tools for texture- and color-based search of images

作者：Wei Y, Yining Deng, Bangalore S Manjunath · 发表于：Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 年份：1997 · DOI：10.1117/12.274547 · 被引用次数：79 · 研究领域：Image Retrieval and Classification Techniques、Advanced Image and Video Retrieval Techniques、Video Analysis and Summarization

Currently there are quite a few image retrieval systems that use color and texture as features to search images. However, by using global features these methods retrieve results that often do not make much perceptual sense. It is necessary to constrain the feature extraction within homogeneous regions, so that the relevant information within these regions can be well represented. This paper describes our recent work on developing an image segmentation algorithm which is useful for processing large and diverse collections of image data. A compact color feature representation which is more appropriate for these segmented regions is also proposed. By using the color and texture features and a region-based search, we achieve a very good retrieval performance compared to the entire image based search.