答案 0 :(得分:9)
您可以将OpenCV与HoughLines
一起使用来检测图像中的线条。每条线的角度可以从这里找到:
import numpy as np
import cv2
import math
from scipy import ndimage
img_before = cv2.imread('rotate_me.png')
cv2.imshow("Before", img_before)
key = cv2.waitKey(0)
img_gray = cv2.cvtColor(img_before, cv2.COLOR_BGR2GRAY)
img_edges = cv2.Canny(img_gray, 100, 100, apertureSize=3)
lines = cv2.HoughLinesP(img_edges, 1, math.pi / 180.0, 100, minLineLength=100, maxLineGap=5)
angles = []
for x1, y1, x2, y2 in lines[0]:
cv2.line(img_before, (x1, y1), (x2, y2), (255, 0, 0), 3)
angle = math.degrees(math.atan2(y2 - y1, x2 - x1))
angles.append(angle)
median_angle = np.median(angles)
img_rotated = ndimage.rotate(img_before, median_angle)
print "Angle is {}".format(median_angle)
cv2.imwrite('rotated.jpg', img_rotated)
这会给你一个输出:
显示检测到的旋转线条。计算的角度是:
Angle is 3.97938245268