Cell imaging method based on multi-exposure image fusion technology

The invention relates to a cell imaging method based on a multi-exposure image fusion technology, which comprises the following steps of: focusing an image, acquiring K fluorescence images under the same brightness or the same exposure time, sequentially converting the K fluorescence images from RGB (Red Green Blue) to HSV (Hue, Saturation and Value), and then taking an optimal hue H and saturation S channel image based on the maximum two-dimensional entropy of the image; fusing a brightness V channel image through a Laplacian pyramid; and finally, converting the newly synthesized HSV image into an RGB image. The method has no special requirements on an excitation light source and a fluorescent dye, is simple in operation, can be used for developing various types of cells at the same time, and provides an optimal analysis picture for subsequent artificial intelligence recognition. 一种基于多曝光图像融合技术的细胞成像方法，首先对图像进行聚焦，在相同亮度或者相同曝光时间下采集K幅荧光图像，将该K幅荧光图像依次进行从RGB转换到HSV，然后基于图像二维熵最大取最佳色调H和饱和度S通道图像，再通过拉普拉斯金字塔进行融合的亮度V通道图像；最后将