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Analysis and classification of ultrasound medical images using the Local Binary Pattern operator

机译:使用本地二值模式运算符对超声医学图像进行分析和分类

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This paper aims to present a classification and retrieval technique applied to ultrasound medical images, based on different variations of Local Binary Pattern (LBP) algorithm. Using this technique, a dedicated application builds an ultrasound image database, determining the optimum variation of LBP algorithm. These techniques can be applied to an image or to a group of images. Characterization is done through an array of values extracted by the algorithm. The application allows the characterization of an image, a set of images, determining the similarity between different images and the degree of belonging to a particular group. There are also presented several comparisons between existent variations of this algorithm, applied on the same set of ultrasound images.
机译:本文旨在基于局部二值模式(LBP)算法的不同变化,提出一种应用于超声医学图像的分类和检索技术。使用此技术,专用的应用程序将建立超声图像数据库,从而确定LBP算法的最佳变化。这些技术可以应用于图像或一组图像。表征是通过算法提取的一组值完成的。该应用程序允许表征图像,一组图像,确定不同图像之间的相似性以及属于特定组的程度。还介绍了该算法的现有变体之间的几种比较,这些变体适用于同一组超声图像。

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