opencv-在图像中绘制轮廓

时间:2018-09-06 21:14:21

标签: python opencv image-processing computer-vision opencv-contour

我正在尝试在图像周围绘制轮廓。我可以看到已找到轮廓,但是无法绘制轮廓。轮廓的颜色似乎是两种(黑色和白色)颜色之一。

import cv2
import numpy as np
import matplotlib.pyplot as plt
from skimage import io
%matplotlib inline
im = io.imread('http://matlabtricks.com/images/post-35/man.png')
plt.imshow(im)
imgray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
plt.figure()
plt.imshow(imgray)

#Contoured image
ret,thresh = cv2.threshold(imgray, 120,255,cv2.THRESH_BINARY)
image, contours, hierarchy = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)
c_img = cv2.drawContours(image, contours, -1, (0, 255, 0), 1)
plt.figure()
plt.imshow(c_img)

2 个答案:

答案 0 :(得分:2)

这是我的结果:

enter image description here


## Read and convert 
img = io.imread('http://matlabtricks.com/images/post-35/man.png')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

## Find outer contours 
_, cnts, _= cv2.findContours(gray,cv2.RETR_EXTERNAL,cv2.CHAIN_APPROX_SIMPLE)

## Draw 
canvas = np.zeros_like(img)
cv2.drawContours(canvas , contours, -1, (0, 255, 0), 1)

plt.imshow(canvas)

答案 1 :(得分:1)

您需要绘制原始图像,而不是findContuors()返回的图像。以下作品。

# Contoured image
ret,thresh = cv2.threshold(imgray, 120,255,cv2.THRESH_BINARY)
contours = cv2.findContours(thresh,cv2.RETR_TREE,cv2.CHAIN_APPROX_SIMPLE)[-2]
for contour in contours:
   cv2.drawContours(im, contour, -1, (0, 255, 0), 3)
plt.figure()
plt.imshow(im)

enter image description here