如何将灰度图像转换为二进制图像并在python中反转? [英] How to convert grayscale image to binary image and reverse in python?

问题描述

我有一个任务将灰度图像转换为二进制图像，然后将其恢复为原始格式.我正在使用opencv的脱粒保持功能将灰度转换为二进制，是否可以使用直方图均衡或图像强度转换域或任何其他方法将二进制图像转换为灰度

I have a task to convert a grayscale image to binary and then take it back to its original form. I am using thresh hold function of opencv to convert the gray into binary is there any way to convert binary image to gray either using Histogram Equilisation or Image intensity transformation domain or any other method

推荐答案

您可以按照以下步骤将灰度图像转换为二进制图像:

You can follow the below steps to convert gray scale image to binary image :

i-通过导入cv2读取灰度图像

i- read a grayscale image by importing cv2

import cv2
im_gray = cv2.imread('path_of_grayscale_image.png', cv2.CV_LOAD_IMAGE_GRAYSCALE)

ii-将灰度图像转换为二进制

ii- convert grayscale image to binary

(thresh, im_bw) = cv2.threshold(im_gray, 128, 255, cv2.THRESH_BINARY | cv2.THRESH_OTSU)

使用Otsu的方法自动从图像中确定阈值，或者如果您已经知道阈值，则可以使用:

which determines the threshold automatically from the image using Otsu's method, or if you already know the threshold you can use:

thresh = 127
im_bw = cv2.threshold(im_gray, thresh, 255, cv2.THRESH_BINARY)[1]

iii-保存

cv2.imwrite('binary_image.png', im_bw)

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