We present an algorithm implemented in the astroalign Python module for image registration in astronomy. Our module does not rely on WCS information and instead matches 3-point asterisms (triangles) on the images to find the most accurate linear transformation between the two. It is especially useful in the context of aligning images prior to stacking or performing difference image analysis. Astroalign can match images of different point-spread functions, seeing, and atmospheric conditions.
翻译:我们展示了在天体相比 Python 模块中用于天文学图像注册的算法。 我们的模块并不依赖 WCS 信息,而是匹配图像上的三点偏向( 三角) 以找到两者之间最准确的线性转换。 在堆叠或进行差异图像分析之前对图像进行对齐特别有用 。 天体相比可以匹配不同点分布功能、 视觉和大气条件的图像 。