图像检索
基于内容的图像检索
计算机科学
图像自动标注
图像纹理
视觉文字
情报检索
图像(数学)
过程(计算)
人工智能
计算机视觉
图像处理
操作系统
作者
T. Dharani,I. Laurence Aroquiaraj
标识
DOI:10.1109/icprime.2013.6496719
摘要
Literature survey is most important for understanding and gaining much more knowledge about specific area of a subject. In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features of image such as color, shape, texture, etc... to search user required image from large image database according to user's requests in the form of a query image. We consider Content Based Image Retrieval viz. labelled and unlabelled images for analyzing efficient image for different image retrieval process viz. D-EM, SVM, RF, etc. To determining the efficient imaging for Content Based Image Retrieval, We performance literature review by using principles of Content Based Image Retrieval based unlabelled images. And also give some recommendations for improve the CBIR system using unlabelled images.
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