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Colorization of two original Tesla's photographs by the method of combined segmentation

机译:通过组合分割法对两张特斯拉原始照片进行着色

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This paper presents some innovations in the standard algorithms for image segmentation into regions and its proper colorization in the second phase. The basic idea is to extract the partial image areas and division of the regions a special method for easier and precise colorization. The method is based on the simultaneous use of two original Tesla's images, made in time distance of several minutes. In this way we will use lighted parts of the first image for separation regions of the second image. This technique or segmentation locates the objects consisting of pixels which process the common attributes. It means that the pixels with almost the same intensity of values are grouped together or these are the pixels with the colour of the same code. After defining of the object or regions the process of colorization is done based on information coming from both images.
机译:本文介绍了在第二阶段将图像分割成区域并对其进行适当着色的标准算法中的一些创新。基本思想是提取局部图像区域和区域划分的一种特殊方法,以实现更轻松,更精确的着色。该方法基于在几分钟的时间距离内同时使用两个特斯拉原始图像的情况。这样,我们将使用第一张图像的亮色部分作为第二张图像的分离区域。这种技术或分割方法可以定位由处理共同属性的像素组成的对象。这意味着将具有几乎相同强度值的像素分组在一起,或者这些是具有相同代码颜色的像素。定义对象或区域后,将根据来自两个图像的信息进行着色。

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