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Methods of establishing the similarity in searching by content in multimedia database with medical images

机译:建立与医学图像的多媒体数据库中内容搜索相似度的方法

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The content based image search and retrieve systems are grounded on their images characteristics the??colour??histogram, the??colour??binary set, the texture or granulation which??are??materialized into images representation??models.The??search and retrieval of a content based image implies comparisons between the images. This thing involves the use of a huge amount of resources and for a very long period of time. That is why the comparison takes place between the image representation??models.The??measuring of the similarity between the two images can be determined in the following ways??by calculating??the??Minkowski??distance, the Hamming distance, the square distance,??generaliyed??measure??Jaccard??and??corelation??measure??Pearson.The??study was realized for a set of three images compose by a one interrogation??endoscopical??image and two target??endoscopical??images (one relevant image and one irrelevant image). They are??compareted??results for all methods of establishing imag.
机译:基于内容的图像搜索和检索系统基于它们的图像特性,即“颜色”直方图,“颜色”二进制集,“物化”或“颗粒化”,这些“物化”被实现为图像表示模型。基于内容的图像的搜索和检索意味着图像之间的比较。这件事涉及使用大量资源,并且使用时间很长。这就是为什么在图像表示模型之间进行比较。可以通过以下方式通过计算“明科夫斯基”距离即汉明距离来确定两个图像之间的相似性。 ,平方距离,“通用”度量“ Jaccard”和“迭代”度量Pearson。该研究是针对由一个审问“内窥镜”图像组成的一组三个图像实现的。和两个目标“内窥镜”图像(一个相关图像和一个不相关图像)。它们是建立imag的所有方法的“比较”结果。

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