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A Survey On Evaluation of Similarity Measures for Content-based Image Retrieval Using Hybrid Features

机译:基于混合特征的基于内容的图像检索相似性度量评价研究

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With the invention in digital technology, has the lead rise in tremendous growth in a large volume of digital image databases. So searching and retrieving the user’s interest image from large data repositories has become a challenging task. From the last couple of years, Content Based Image Retrieval (CBIR) had attained ample attention from researchers as it gives a solution to the above problem. CBIR system is such that it retrieves the user required results of images from the vast collection of the database by extracting image features like color, texture, shape. These features give the detailed information about the image.
机译:随着数字技术的发明,在大量的数字图像数据库中取得了巨大的增长。因此,从大型数据存储库中搜索和检索用户的兴趣图像已成为一项艰巨的任务。从最近几年开始,基于内容的图像检索(CBIR)得到了研究者的充分关注,因为它为上述问题提供了解决方案。 CBIR系统可通过提取图像特征(如颜色,纹理,形状)从数据库的庞大集合中检索用户所需的图像结果。这些功能提供有关图像的详细信息。

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