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Color Intensity Projections: A simple way to display changes in astronomical images

机译:颜色强度投影:显示变化的简单方法  天文图像

摘要

To detect changes in repeated astronomical images of the same field of view(FOV), a common practice is to stroboscopically switch between the images.Using this method, objects that are changing in location or intensity betweenimages are easier to see because they are constantly changing. A novel displaymethod, called arrival time color intensity projections (CIPs), is presentedthat combines any number of grayscale images into a single color image on apixel by pixel basis. Any values that are unchanged over the grayscale imageslook the same in the color image. However, pixels that change over thegrayscale image have a color saturation that increases with the amount ofchange and a hue that corresponds to the timing of the changes. Thus objectsmoving in the grayscale images change from red to green to blue as they moveacross the color image. Consequently, moving objects are easier to detect andassess on the color image than on the grayscale images. A sequence of images ofa comet plunging into the sun taken by the SOHO satellite (NASA/ESA) and HubbleSpace Telescope images of a trans-Neptunian object (TNO) are used todemonstrate the method.
机译:为了检测同一视场(FOV)的重复天文图像中的变化,通常的做法是在这些图像之间进行频闪观测切换。使用此方法,由于图像位置和强度不断变化,因此更易于查看图像之间位置或强度变化的对象。提出了一种称为到达时间颜色强度投影(CIP)的新颖显示方法,该方法可以将任意数量的灰度图像组合到一个像素一个像素的单色图像中。在灰度图像上任何不变的值在彩色图像中看起来都是相同的。但是,在灰度图像上变化的像素具有随变化量增加的色彩饱和度和与变化的时间相对应的色相。因此,在灰度图像中移动的对象在整个彩色图像中移动时会从红色变为绿色再变为蓝色。因此,在彩色图像上比在灰度图像上更容易检测和评估运动的对象。 SOHO卫星(NASA / ESA)拍摄的一系列彗星掉入太阳中的图像和跨海王星天体(TNO)的哈勃太空望远镜图像被用来演示该方法。

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