Method for intelligently coloring microstructure photo shot by electron microscope and CNN coloring learner

The invention discloses a method for intelligently coloring a microstructure photo shot by an electron microscope and a CNN coloring learner, and the method comprises the following steps of firstly, manufacturing a data set which is a set of a plurality of color SEM images, and learning the data set by a shader; converting a to-be-colored microscopic grayscale photo shot by the electron microscope as an input image into an LAB color space, and intercepting a grayscale image with a pixel size of H*W from the microscopic grayscale photo as an input image XL of a CNN; coloring the shader. According to the present invention, the coloring process of the present invention needs to additionally provide a color image in real life similar to the texture structure of a gray image with a colored target as a reference image, and the end-to-end black box type training is conducted on the convolutional neural network, so that the manual participation is not needed. 本发明公开了一种对电子显微镜拍摄的微观结构照片进行智能着色的方法及CNN着色学习器,包括如下步骤：首先制作一个数据集