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如何得到透视扭曲图像中某一点的(x,y)?

perspective opencv python

0

YQ.Wang · 技术社区 · 7 年前

我对原始图像有一个观点,我对图像做了透视变换。现在我怎样才能在战争图像上得到这一点?下面是一个例子:

import cv2
import numpy as np

original_img = cv2.imread('1.jpg')
# one point(400,560) on the original image
cv2.circle(original_img, (400,560), 7, (0,255,255), -1)
original_points = np.float32([(0,560), (0,450), (795,568), (795,748)])
destination_points = np.float32([(0,400), (0,0), (600,0), (600,400)])
# transformation matrix
M = cv2.getPerspectiveTransform(original_points, destination_points)
# warp perspective
warpped_img = cv2.warpPerspective(original_img, M, (600,400))
cv2.imshow('original', original_img)
cv2.imshow('warpped', warpped_img)
cv2.waitKey(0)

这是原始图像:

这是扭曲的结果:

(400,560) . 如何计算扭曲图像上这一点的像素?

1 回复 | 直到 7 年前

1

bigdata2 7 年前

import cv2
import numpy as np

original_img = cv2.imread('1.jpg')
# one point(400,560) on the original image
cv2.circle(original_img, (400,560), 7, (0,255,255), -1)
original_points = np.float32([(0,560), (0,450), (795,568), (795,748)])
destination_points = np.float32([(0,400), (0,0), (600,0), (600,400)])
# transformation matrix
M = cv2.getPerspectiveTransform(original_points, destination_points)
pt =  np.array([[[400,560]]], dtype=np.float32)
dst_pt = cv2.perspectiveTransform(pt, M)
dst_pt = dst_pt.astype(int)
dst_pt = tuple(dst_pt[0,0,].tolist())
# warp perspective
warpped_img = cv2.warpPerspective(original_img, M, (600,400))
cv2.circle(warpped_img, dst_pt, 7, (0,255,255), -1)
cv2.imshow('original', original_img)
cv2.imshow('warpped', warpped_img)
cv2.waitKey(0)