匹配两个图像的中心(OpenCV,Python) [英] Match center of two images (OpenCV, Python)
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问题描述
我问过一个可能太复杂的问题.所以在这里,我有了一个新的简单点.
I asked before a question which was, maybe, too complex. So here I am with a new one a little bit simplier.
我有两张图片:
我要做的是将第二个图像居中放置在第一个图像的中央,如下所示.
What I want to do is to center the second image into the center of the first, like below.
到目前为止,我所获得的是这些图像的中心.
What I achieved until now was the center of these images.
值是X-Y两点的列表.
The value is a list of two points, X-Y.
我该如何匹配这些点以获得上面想要的结果?
How can I match these points to have a result like desired above ?
import cv2
import numpy as np
import os
img1 = cv2.imread(os.path.expanduser('~\\Desktop\\c1.png'))
# ---Read image and obtain threshold---
img0 = cv2.cvtColor(img1, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(img0, 120, 255, 1)
# ---Obtain contours---
image, contours, hierarchy = cv2.findContours(thresh, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
cnts = contours
center = []
for c in cnts:
M = cv2.moments(c)
cX = int(M["m10"] / M["m00"])
cY = int(M["m01"] / M["m00"])
print(cX, cY)
center.append(cX)
center.append(cY)
print(center)
谢谢
推荐答案
这是我的步骤:
- 通过轮廓查找中心
- 计算中心之间的偏移量
- 对
paste
对象图像进行切片操作
- Find centers by contours
- Calc the offset between centers
- Do slice-op to
paste
the object image
对于这两个图像:
这是我的结果(img2为0.3x):
This is my result (with 0.3x for img2):
#!/usr/bin/python3
# 2018.01.16 21:07:48 CST
# 2018.01.16 21:23:47 CST
import cv2
import numpy as np
import os
def findCenter(img):
print(img.shape, img.dtype)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
th, threshed = cv2.threshold(gray, 127, 255, cv2.THRESH_BINARY_INV|cv2.THRESH_OTSU)
#cv2.imshow("threshed", threshed);cv2.waitKey();cv2.destroyAllWindows()
#_, cnts, hierarchy = cv2.findContours(threshed, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cv2.findContours(threshed, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)[-2]
M = cv2.moments(cnts[0])
cX = int(M["m10"] / M["m00"])
cY = int(M["m01"] / M["m00"])
return (cX,cY)
img1 = cv2.imread("img1.jpg")
img2 = cv2.resize(cv2.imread("img2.jpg"), None, fx=0.3, fy=0.3)
## (1) Find centers
pt1 = findCenter(img1)
pt2 = findCenter(img2)
## (2) Calc offset
dx = pt1[0] - pt2[0]
dy = pt1[1] - pt2[1]
## (3) do slice-op `paste`
h,w = img2.shape[:2]
dst = img1.copy()
dst[dy:dy+h, dx:dx+w] = img2
cv2.imwrite("res.png", dst)
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