Automatic correction and refocusing method for light field microscopic image

Abstract

The present application provides an automatic correction and refocusing method for a light field microscopic image. The method comprises steps of (a) automatically segmenting a captured light field image into micro images by an automatic correction algorithm; (b) segmenting the micro images in the step (a) into sub-images; and (c) refocusing the sub-images in the step (b) by a rolling and adding algorithm to generate a refocused image; and converting a colored light field image into a binary image by using an Ostu algorithm. The method is not only used for detecting the defects of the light Field image, but also can easily calculate the center of each micro lens and the radius of the micro image, saves time and improves correction accuracy. More noise points are added to an out-of-focus area by the rolling and adding algorithm, thereby providing more contrast between focusing and defocusing regions. 本申请提供一种光场显微图像的自动校正和重新聚焦方法，(a)将捕获的光场图像通过自动校正算法自动分割成微图像；(b)把步骤(a)中的微图像分割成子图像；(c)通过滚动和添加算法将步骤(b)中的子图像重新聚焦生成重新聚焦后的图像；通过使用Ostu算法将彩色的光场图像转换为二值图像，不仅用于检测光场图像的缺陷，且很容易计算每个微透镜的中心和微图像的半径，节省时间并提高校正精度；通过滚动和添加算法将更多噪点添加到离焦区域，从而在对焦区域和离焦区域之间提供更多对比。