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首页> 外文期刊>International Journal of Engineering Science and Technology >Content Based Image Retrieval Using Color, Texture and Shape Features
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Content Based Image Retrieval Using Color, Texture and Shape Features

机译:基于内容的图像检索使用颜色,纹理和形状特征

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Plethora of images from numerous sources has led to escalation of technical challenges forcomputer systems in storing and managing image data. This has given rise to the need of a highlyeffectual retrieval system. To address such an issue, Content Based Image Retrieval (CBIR) system isused for searching and retrieving expected or desired images from the database which will automaticallyindex and extract the features of images. This paper enhances the performances of the retrieval of imagesfrom a large database with comparisons to the existing works. Matlab was used for implementing theproposed work.
机译:来自众多来源的血清图像导致了在存储和管理图像数据中计算机系统的技术挑战的升级。这使得需要高度缩减的检索系统。为了解决这样的问题,基于内容的图像检索(CBIR)系统用于搜索和检索来自数据库的预期或期望的图像,该数据库将自动示出并提取图像的特征。本文通过对现有工作的比较增强了图像检索的性能。 Matlab用于实施伪造的工作。

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