A survey on content based image retrieval

T. Dharani, I. L. Aroquiaraj
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引用次数: 48

Abstract

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.
基于内容的图像检索研究进展
文献调查对于理解和获得关于一个主题的特定领域的更多知识是最重要的。本文对基于内容的图像检索技术进行了综述。基于内容的图像检索(CBIR)是一种利用图像的颜色、形状、纹理等视觉特征来获取图像的技术。根据用户的要求,以查询图像的形式从大型图像数据库中搜索用户需要的图像。我们考虑基于内容的图像检索,即标记和未标记的图像,以分析不同的图像检索过程,即D-EM, SVM, RF等有效的图像。为了确定基于内容的图像检索的有效成像,我们利用基于内容的图像检索基于未标记图像的原理进行了文献综述。并对改进无标记图像的CBIR系统提出了一些建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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