????????实现畸变矫正之前需要知道两个重要参数，一个是相机内参，另一个是畸变参数。只有拿到这两个参数之后才可矫正，获取方式是通过标定来实现。
一.标定并获取重要参数
????????标定不需要买标定板，只需要用一张白纸把下图打印出来，调整好大小噢
打印出来之后，用广角相机进行不同角度拍照，拍摄二十张图像即可。
? ? ? ? 之后将20张图像传入下方代码，即可得到两个参数，我将其参数记录到txt文件内
import cv2
import numpy as np
import glob
criteria = (cv2.TERM_CRITERIA_MAX_ITER | cv2.TERM_CRITERIA_EPS, 30, 0.001)
objp = np.zeros((6 * 9, 3), np.float32)
objp[:, :2] = np.mgrid[0:9, 0:6].T.reshape(-1, 2)
obj_points = []
img_points = []
images = glob.glob("路径/*.png")
i = 0
for fname in images:
img = cv2.imread(fname)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
size = gray.shape[::-1]
ret, corners = cv2.findChessboardCorners(gray, (9, 6), None)
if ret:
obj_points.append(objp)
corners2 = cv2.cornerSubPix(gray, corners, (5, 5), (-1, -1), criteria)
if corners2.any():
img_points.append(corners2)
else:
img_points.append(corners)
cv2.drawChessboardCorners(img, (9, 6), corners, ret)
i += 1
cv2.imwrite('conimg' + str(i) + '.jpg', img)
print(len(img_points))
cv2.destroyAllWindows()
ret, mtx, dist, rvecs, tvecs = cv2.calibrateCamera(obj_points, img_points, size, None, None)
with open('./log.txt','a') as f:
print("ret:", ret)
print("内参数矩阵mtx:\n", mtx)
print("畸变系数dist:\n", dist)
print("rvecs:\n", rvecs)
print("tvecs:\n", tvecs)
print(mtx,file = f)
print(dist,file = f)?得到参数
?二.畸变矫正
?将获取的参数带入下方代码中
import cv2
import numpy as np
import glob
def Correct(path,outpath):
mtx = [[2.15206623e+03, 0.00000000e+00, 1.25097137e+03],
[0.00000000e+00, 2.15359839e+03, 8.06536253e+02],
[0.00000000e+00, 0.00000000e+00, 1.00000000e+00]]
dist = [-3.05992261e-01, 2.19067370e-01, -2.37335833e-04, 2.43254582e-03, -1.65336735e-01]
image_path = path
img = cv2.imread(image_path)
img_distort = cv2.undistort(img, np.array(mtx), np.array(dist))
#---------------------------------------------------------------------------------
cv2.imwrite(outpath, img_distort)
return img_distort
if __name__ == "__main__":
path = "图像路径"
outpath = "输出路径"
Correct(path,outpath)
