期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2012
卷号：2
期号：3
页码：560-563
出版社：International Journal of Soft Computing & Engineering
摘要：Content-based Image Retrieval (CBIR) consists of retrieving the most visually similar images to a given query image from a database of images. "Content-based" means that the search will analyze the actual contents of the image rather than the metadata such as keywords, tags, and/or descriptions associated with the image. The term 'content' in this context might refer to colours, shapes, textures, or any other information that can be derived from the image itself. CBIR is desirable because most web based image search engines rely purely on metadata and this produces a lot of garbage in the results. Also having humans manually enter keywords for images in a large database can be inefficient, expensive and may not capture every keyword that describes the image. Thus a system that can filter images based on their content would provide better indexing and return more accurate results. This paper proposes 3D colour feature extraction for comparing the contents.
关键词：QBIC (Query by Image Content); CBVIR (Content Based;Visual;Information Retrieval); Color;Space;Texture;Conventional Color Histogram ; CMY; HSV.
