论文标题
医学图像分析中的纹理特征：调查
Texture features in medical image analysis: a survey
论文作者
论文摘要
纹理被定义为图像中像素强度的空间结构，该图像在整个图像或区域中定期重复，并成为图像的概念。纹理，颜色和形状是人类视觉系统使用的三个主要组件来识别图像内容。在本文中，首先，有效和更新的纹理分析运营商可以通过细节幸存。接下来，在医疗应用和疾病诊断中使用纹理分析的一些最新方法幸存下来。最后，根据准确性，数据集，应用程序等进行了比较不同的方法。结果表明，纹理特征分别或在不同特征集的关节中，例如深层，颜色或形状特征在医学图像分类中提供了高精度。
The texture is defined as spatial structure of the intensities of the pixels in an image that is repeated periodically in the whole image or regions, and makes the concept of the image. Texture, color and shape are three main components which are used by human visual system to recognize image contents. In this paper, first of all, efficient and updated texture analysis operators are survived with details. Next, some state-of-the-art methods are survived that use texture analysis in medical applications and disease diagnosis. Finally, different approaches are compared in terms of accuracy, dataset, application, etc. Results demonstrate that texture features separately or in joint of different feature sets such as deep, color or shape features provide high accuracy in medical image classification.
