模糊python中的图像边缘

发布于 2025-02-12 00:36:27 字数 700 浏览 0 评论 0原文

我正在尝试阅读二进制RGB图像，并只是模糊边缘。这是我现在的非工作代码。我遇到了这个错误：“ ValueError：操作数无法与形状（2048,2048,3）（2048,2048）一起广播

import cv2
import numpy as np
import skimage.exposure
import matplotlib.pyplot as plt

# load image
img = cv2.imread('mask.png')


# Get edges
edges = cv2.Canny(image=img.astype(np.uint8), threshold1=100, threshold2=200) # Canny Edge Detection

#Remove edges from image
img = img - edges

# Blur
blur = cv2.GaussianBlur(edges, (0,0), sigmaX=2.5, sigmaY=2.5, borderType = cv2.BORDER_DEFAULT)

img = img + blur

# save output
cv2.imwrite('bw_image_antialiased.png', img)

。更快，更高效？

原文

I'm trying to read a binary RGB image and blur just the edges. This is my non-working code upto now. I get this error: "ValueError: operands could not be broadcast together with shapes (2048,2048,3) (2048,2048)"

import cv2
import numpy as np
import skimage.exposure
import matplotlib.pyplot as plt

# load image
img = cv2.imread('mask.png')


# Get edges
edges = cv2.Canny(image=img.astype(np.uint8), threshold1=100, threshold2=200) # Canny Edge Detection

#Remove edges from image
img = img - edges

# Blur
blur = cv2.GaussianBlur(edges, (0,0), sigmaX=2.5, sigmaY=2.5, borderType = cv2.BORDER_DEFAULT)

img = img + blur

# save output
cv2.imwrite('bw_image_antialiased.png', img)

Is there a better way to do this? Faster, more efficient?

The images