图片
我正在尝试查找图像中矩形的位置。考虑到图像的顶部作为参考,如何找到矩形的位置?我想要四个顶点的坐标。
我尝试过findContours和有界矩形方法,但无法获取坐标。帮助将不胜感激。
答案 0 :(得分:2)
仅获取轮廓,然后找到边界矩形。检查官方文档中的this tutorial。
import cv2
img = cv2.imread('image.jpg')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
ret, thresh = cv2.threshold(gray, 80, 255, cv2.THRESH_BINARY)
_, contours, _ = cv2.findContours(thresh,
cv2.RETR_TREE,
cv2.CHAIN_APPROX_NONE)
x1, y1, w, h = cv2.boundingRect(contours[0])
x2, y2 = x1 + w, y1 + h
print((x1, y1), (x2, y2))
cv2.rectangle(img, (x1, y1), (x2, y2), (0, 255, 0), 2)
cv2.imwrite('res.jpg', img)
矩形((x1,y1),(x2,y2))的左上和右下点的坐标:
(369, 0) (901, 433)
结果:
答案 1 :(得分:1)
仅需调整cv2 tutorial,即可找到最大的轮廓,然后获得其边界矩形。
img = cv2.imread('/home/kvnp/Desktop/v02J6.jpg',0) #read in the image with correct dtype
_,thresh = cv2.threshold(img,200,255,0) # threshold the image
_,contours,_ = cv2.findContours(thresh, 1, 2) # find the contours
cnt = sorted(contours, key = lambda c: -len(c))[0] # order from largest to smallest and select the largest
x,y,w,h = cv2.boundingRect(cnt) # make bounding rectangle around the largest contour
corners = np.array([[x,y],[x+w,y],[x+w,y+h],[x,y+h]]) # make array of corners sorted clockwise
我得到的这张图片
>>> corners
array([[371, 1],
[900, 1],
[900, 430],
[371, 430]])