文章基本信息

标题：CONTENT BASED IMAGE RETRIEVAL - EXTRACTION BY OBJECTS OF USER INTEREST
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作者：Mr. D. Kishore Kumar ; E.Usha sree ; K.Suneera 等
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2011
卷号：3
期号：3
页码：1068-1074
出版社：Engg Journals Publications
摘要：Content-based image retrieval (CBIR) systems normally return the retrieval results according to the similarity between features extracted from the query and candidate images. In certain circumstances, however users are most qualified to specify the query �content� or objects(e.g., Eiffel Tower) of their interest , not the computer and only wish to retrieve images containing relevant objects, while ignoring irrelevant image areas (such as the background). Previous work on this normally requires complicated segmentation of the object from the background. In this paper, the user can select �object of user�s interest� of different shapes, non homogenous texture containing different colors regardless of many objects present in the same image using varied tools like polygonal, rectangle, circle selector tools. A twostate procedure is used to query the image from the Image database. First, we integrate global color and texture feature vectors to narrow down the search space and in next state we Process using local features. We use color moments and subband statistics of wavelet decomposition as color and texture features respectively. The shape features, generated by mathematical morphology operators, are further employed to produce the final retrieval results.
关键词：Image retrieval; image database; Selector Tool; Object of users� interest (OUI); Color moments; Wavelet transform.