python实现证件图⽚倾斜矫正上图：
上代码：
import os
import cv2
import math
import random
import numpy as np
from scipy import misc, ndimage
import matplotlib.pyplot as plt
filepath = './'
img = cv2.imread('sfz4.png')
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY) edges = cv2.Canny(gray, 50, 150, apertureSize=3)
# 霍夫变换
lines = cv2.HoughLines(edges, 1, np.pi / 180, 0) rotate_angle = 0
for rho, theta in lines[0]:
a = np.cos(theta)
b = np.sin(theta)
x0 = a * rho
y0 = b * rho
x1 = int(x0 + 1000 * (-b))
y1 = int(y0 + 1000 * (a))
x2 = int(x0 - 1000 * (-b))
y2 = int(y0 - 1000 * (a))
if x1 == x2 or y1 == y2:
continue
t = float(y2 - y1) / (x2 - x1)
rotate_angle = math.degrees(math.atan(t))
if rotate_angle > 45:
rotate_angle = -90 + rotate_angle
elif rotate_angle < -45:
rotate_angle = 90 + rotate_angle
print("rotate_angle : "+str(rotate_angle))
rotate_img = ate(img, rotate_angle) misc.imsave('ssss.png',rotate_img)
cv2.imshow("img", rotate_img)
cv2.waitKey(0)
