如何使用Opencv模糊/羽化图像中对象的边缘? [英] How to blur/ feather the edges of an object in an image using Opencv?

问题描述

目标是使图像中所选对象的边缘模糊.

我已经使用以下代码完成了获取对象轮廓的步骤:

  image = cv2.imread('图像路径')灰色= cv2.cvtColor(图像，cv2.COLOR_BGR2GRAY)thresh = cv2.threshold(灰色，60，255，cv2.THRESH_BINARY)[1]im，轮廓，层次结构= cv2.findContours(thresh.copy()，cv2.RETR_EXTERNAL，cv2.CHAIN_APPROX_SIMPLE) 

我还可以使用以下方式绘制轮廓:

cv2.drawContours(图片，轮廓，-1，(0、255、0)，2)

现在，我想利用存储在 contours 中的点来模糊/羽化对象的边缘，也许使用高斯模糊.我该如何实现?

非常感谢！

解决方案

与我提到的内容类似

The objective is to blur the edges of a selected object in an image.

I've done the steps to obtain the contours of the object by using the following code:

image = cv2.imread('path of image')
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 60, 255, cv2.THRESH_BINARY)[1]
im, contours, hierarchy = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

I am also able to plot the contour using:

cv2.drawContours(image, contours, -1, (0, 255, 0), 2)

Now I want to make use of the points stored in contours to blur / feather the edge of the object, perhaps using gaussian blur. How am I able to achieve that?

Thanks so much!

解决方案

Similar to what I have mentioned here, you can do it in the following steps:

• Load original image and find contours.
• Blur the original image and save it in a different variable.
• Create an empty mask and draw the detected contours on it.
• Use np.where() method to select the pixels from the mask (contours) where you want blurred values and then replace it.

---

import cv2
import numpy as np

image = cv2.imread('./asdf.jpg')
blurred_img = cv2.GaussianBlur(image, (21, 21), 0)
mask = np.zeros(image.shape, np.uint8)

gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
thresh = cv2.threshold(gray, 60, 255, cv2.THRESH_BINARY)[2]
contours, hierarchy = cv2.findContours(thresh.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)

cv2.drawContours(mask, contours, -1, (255,255,255),5)
output = np.where(mask==np.array([255, 255, 255]), blurred_img, image)

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