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

机译:颜色强度投影:一种显示天文图像变化的简单方法

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 between images are easier to see because they are constantly changing. A novel display method, called arrival time color intensity projections (CIPs), is presented that combines any number of grayscale images into a single color image on a pixel by pixel basis. Any values that are unchanged over the grayscale images look the same in the color image. However, pixels that change over the grayscale image have a color saturation that increases with the amount of change and a hue that corresponds to the timing of the changes. Thus objects moving in the grayscale images change from red to green to blue as they move across the color image. Consequently, moving objects are easier to detect and assess on the color image than on the grayscale images. A sequence of images of a comet plunging into the sun taken by the SOHO satellite (NASA/ESA) and Hubble Space Telescope images of a trans-Neptunian object (TNO) are used to demonstrate 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。使用此方法,由于图像之间位置或强度不断变化,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,该方法将任意数量的灰度图像按像素组合为单色图像。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。然而,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)拍摄的一系列彗星陷入太阳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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