为什么对图像进行阈值处理与在图像中与其他事物相比会给出不同的结果？
python 197
原文标题 ：Why does thresholding on image give a different result compared to when it is in an image with other things?
我有一个图像，当我在其上应用二进制阈值时，它给出的结果与它在具有其他事物的图像中时不同。我不确定我是否错误地设置了阈值函数的参数，因为我示例取自OpenCV文档。文档链接：https://docs.opencv.org/4.x/d7/d4d/tutorial_py_thresholding.html
在我的测试程序中，我读入了两张图片。一种是物体本身，另一种是它与其他物体的图像。当我将阈值应用于 image1 时，我得到了我想要的结果。但是，当我将阈值应用于 image2 时，我部分得到了我想要的结果，但是其中一个块的阈值不正确。关于可能导致这种情况的任何想法？
#Reading in image1
img1 = cv2.imread("Templates/YellowBlocks/SS.png", cv2.IMREAD_COLOR)
#Reading in image2
img2 = cv2.imread("Test Program 1.png", cv2.IMREAD_COLOR)
#Converting image1 to grayscale
grayImg1 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
#Converting image2 to grayscale
grayImg2 = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
#Applying a binary threshold on image1 to show text in black and white
ret1,thresh1 = cv2.threshold(grayImg1, 0, 255,cv2.THRESH_OTSU+cv2.THRESH_BINARY)
#Applying a binary threshold on image2 to show text in black and white
ret2,thresh2 = cv2.threshold(grayImg2, 0, 255,cv2.THRESH_OTSU+cv2.THRESH_BINARY)
#Displaying image1
cv2.imshow('img1', img1)
#Displaying thresholded image1
cv2.imshow('thresh1', thresh1)
#Displaying image2
cv2.imshow('img2', img2)
#Displaying thresholded image2
cv2.imshow('thresh2', thresh2)
cv2.waitKey(0)
