The family of image visibility graphs (IVG/IHVGs) have been recently introduced as simple algorithms by which scalar fields can be mapped into graphs. Here we explore the usefulness of such\an operator in the scenario of image processing and image classification. We demonstrate that the link architecture of the image visibility graphs encapsulates relevant information on the structure of the images and we explore their potential as image filters. We introduce several graph features, including the novel concept of Visibility Patches, and show through several examples that these features are highly informative, computationally efficient and universally applicable for general pattern recognition and image classification tasks.

中文翻译：

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图像处理的可见度图

图像可见性图（IVG / IHVGs）系列最近已作为简单算法引入，通过该算法可以将标量字段映射到图中。在这里，我们探讨了这种\运算符在图像处理和图像分类场景中的有用性。我们证明了图像可见性图的链接体系结构封装了有关图像结构的相关信息，并且我们探索了它们作为图像过滤器的潜力。我们介绍了几种图形功能，包括“可见性修补程序”的新颖概念，并通过几个示例说明了这些功能具有很高的信息量，计算效率高并且普遍适用于常规模式识别和图像分类任务。