如何用cv2正确实现高斯模糊？

Question

我收到以下错误

error                                     Traceback (most recent call last)
<ipython-input-10-2d3a348b0b9b> in <module>()
     25 
     26 #gaussian blur (sigma = 1)
---> 27 gaus_blur1 = cv2.GaussianBlur(img,(0,0), 1, 1)
     28 cv2_imshow(gaus_blur1[2000])
     29 

error: OpenCV(4.1.2) /io/opencv/modules/core/src/matrix.cpp:757: error: (-215:Assertion failed) dims <= 2 && step[0] > 0 in function 'locateROI'

当我想做的时候

for k in range (7165):
  img[k] = cv2.imread('/content/FIGURE/figure' + str(k) +'.png', 1) 
                                    #storing images into array of integers

img_neg = 255 - img    #taking the negative

#cv2_imshow(img_neg[2000])

#voxel form

#gaussian blur (sigma = 1)
gaus_blur1 = cv2.GaussianBlur(img_neg,(0,0), 1, 1)

网上的大多数解决方案都提到没有从文件夹中正确读取图像，但事实并非如此，我尝试绘制了一些并且数据集正是那个。你知道它可能是什么吗？

Answer 1

虽然您的问题中缺乏上下文仍然不太清楚，但您似乎试图模糊图像的阵列，而不是一张二维图像

单独对每张图片进行模糊处理：

# could be some other structure than dicts, but it's not clear from the question
img = {}  
gaus_blur = {}

for k in range(7165):
    image = cv2.imread("/content/FIGURE/figure" + str(k) + ".png", 1)
    img[k] = image  # store original image
    gaus_blur[k] = cv2.GaussianBlur(255 - image, (0, 0), 1, 1)  # store inverse blurred image

如何用cv2正确实现高斯模糊？

How to implement Gaussian Blur with cv2 correctly?

python

image-processing

cv2