cv2阈值无法在第二张图像上正常工作

Question

我是python的新手，我在玩背景减法以可视化更改前后图像的变化。

我使用cv2库编写了一个简短的脚本：

#!/usr/bin/env python

import cv2 as cv
import numpy as np
from matplotlib import pyplot as plt


#GRAYSCALE ONLY FOR TESTING
#Test with person appearing in image
img1 = cv.imread("images/1.jpg", 0)
img2 = cv.imread("images/2.jpg", 0)
img3 = cv.subtract(img1, img2)
ret,thresh1 = cv.threshold(img3,90,255,cv.THRESH_BINARY)


#Test with satelite image of japan landslide changes after earthquake 
jl_before = cv.imread("images/japan_earthquake_before.jpg",0)
jl_after = cv.imread("images/japan_earthquake_after.jpg",0)
jl_subtraction = cv.subtract(jl_before, jl_after)
ret,thresh2 = cv.threshold(img3,20,255,cv.THRESH_BINARY)

images = [img1, img2, thresh1, jl_before, jl_after, thresh2]
titles = ["Image1", "Image2", "Changes", "Japan_Before", "Japan_After", "Japan_Changes" ]
for i in range(6):
    plt.subplot(2,3,i+1),plt.imshow(images[i],'gray')
    plt.title(titles[i])
    plt.xticks([]),plt.yticks([])
plt.show()

结果如下：

为什么第二组图像的遮罩中存在与第一组图像不同的遮罩？

我使用了不同的变量thresh1和thresh2。

由于我似乎找不到问题，任何帮助将不胜感激。

Answer 1

因为您在复制粘贴时错过了更改：

ret,thresh2 = cv.threshold(img3,20,255,cv.THRESH_BINARY)
                           ^^^^