The Application of the Montage Image Mosaic Engine to the Visualization of Astronomical Images
The Application of the Montage Image Mosaic Engine to the Visualization of Astronomical Images
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DOI：
10.1088/1538-3873/aa5456
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发表时间：
2017-02
影响因子：
3.5
通讯作者：
G. Berriman;J. Good
中科院分区：
文献类型：
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作者：
G. Berriman;J. Good
Montage Image Mosaic Engine被设计为一个可扩展的工具包，用C语言编写，以提高性能和跨 *nix平台的可移植性，将FITS图像组装成马赛克。该代码是免费提供的，并已广泛用于天文学和IT社区的研究，产品生成和开发下一代网络基础设施。最近，它已经开始在可视化领域找到适用性。这种开发是因为工具包设计允许轻松集成到可扩展的系统中，这些系统处理数据，以便在浏览器或客户端中进行后续可视化。该工具包包括一个适合自动化和集成到Python中的可视化工具：mViewer使用单个命令创建覆盖有坐标显示、标签和观察足迹的复杂多色图像，并包括一个自适应图像直方图均衡化方法，该方法可以在其动态范围内保留拉伸图像的结构。Montage工具包包含最初为支持马赛克的创建和管理而开发的功能，但也为可视化提供了价值：一种背景校正算法，可以显示图像中的模糊结构;以及用于创建大图像的剪切和下采样版本的工具。Montage版本5支持可视化以HEALPix天空镶嵌方案编写的数据，并提供处理和组织图像的功能，以符合万维望远镜（WWT）使用所需的吐司天空镶嵌方案。四个在线教程允许读者复制和扩展本文中介绍的所有可视化。
The Montage Image Mosaic Engine was designed as a scalable toolkit, written in C for performance and portability across *nix platforms, that assembles FITS images into mosaics. This code is freely available and has been widely used in the astronomy and IT communities for research, product generation, and for developing next-generation cyber-infrastructure. Recently, it has begun finding applicability in the field of visualization. This development has come about because the toolkit design allows easy integration into scalable systems that process data for subsequent visualization in a browser or client. The toolkit it includes a visualization tool suitable for automation and for integration into Python: mViewer creates, with a single command, complex multi-color images overlaid with coordinate displays, labels, and observation footprints, and includes an adaptive image histogram equalization method that preserves the structure of a stretched image over its dynamic range. The Montage toolkit contains functionality originally developed to support the creation and management of mosaics, but which also offers value to visualization: a background rectification algorithm that reveals the faint structure in an image; and tools for creating cutout and downsampled versions of large images. Version 5 of Montage offers support for visualizing data written in HEALPix sky-tessellation scheme, and functionality for processing and organizing images to comply with the TOAST sky-tessellation scheme required for consumption by the World Wide Telescope (WWT). Four online tutorials allow readers to reproduce and extend all the visualizations presented in this paper.