Two-dimensional signature of images and texture classification
Two-dimensional signature of images and texture classification
复制标题
图像的二维签名和纹理分类
DOI：
10.1098/rspa.2022.0346
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Tindel, Samy
中科院分区：
文献类型：
--
作者：
Zhang, Sheng;Lin, Guang;Tindel, Samy
我们介绍了一个适当的概念，二维签名的图像。这个对象的灵感来自于所谓的粗糙路径理论，它捕获了二维对象（如图像）的许多基本特征。因此，它作为一个低维特征的模式分类。在这里，我们实现了一个简单的纹理分类过程。在这种情况下，我们表明，基于签名的低维特征集产生了很好的准确性。
We introduce a proper notion of two-dimensional signature for images. This object is inspired by the so-called rough paths theory, and it captures many essential features of a two-dimensional object such as an image. It thus serves as a low-dimensional feature for pattern classification. Here, we implement a simple procedure for texture classification. In this context, we show that a low-dimensional set of features based on signatures produces an excellent accuracy.