我如何填补“漏洞”在图像？ [英] How do i fill "holes" in an image?

问题描述

我有星系的照片。这些图像上有一些不需要的数据（如星星或飞机条纹）被屏蔽掉了。我不仅希望用一些平均值填充蒙版区域，而是根据周围数据对它们进行插值。我怎么在python中做到这一点？

I have photo images of galaxies. There are some unwanted data on these images (like stars or aeroplane streaks) that are masked out. I don't just want to fill the masked areas with some mean value, but to interpolate them according to surrounding data. How do i do that in python?

我们在SciPy.interpolate包中尝试了各种函数：RectBivariateSpline，interp2d，splrep / splev，map_coordinates，但所有这些函数似乎都在寻找现有的像素之间像素，我们无法让它们填充数据中的任意漏洞。

We've tried various functions in SciPy.interpolate package: RectBivariateSpline, interp2d, splrep/splev, map_coordinates, but all of them seem to work in finding new pixels between existing pixels, we were unable to make them fill arbitrary "hole" in data.

推荐答案

你想要的是什么叫 修复 。

OpenCV有一个 inpaint（） 你想要什么。

What you want is called Inpainting.
OpenCV has an inpaint() function that does what you want.

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