拼接过程中的裁边图像

Question

我将多张图像拼接成一张。在一个中间步骤中，我得到一个图像，如：

完全不需要图像从左侧开始，而在右侧具有黑色区域。我要从此图像中获取一个不包含黑色区域的矩形图像。也就是说，类似于：

有人可以建议我这样做的方法吗？

Answer 1

这是在图像右侧裁剪出多余黑色的一种方法：

Read the image

Convert to grayscale

Threshold

Apply closing and opening morphology to remove small black and white spots.

Get the surrounding contour

Crop the contour

Save the result

输入：

import cv2
import numpy as np

# read image
img = cv2.imread('road.jpg')

# convert to grayscale
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

# threshold
_,thresh = cv2.threshold(gray,5,255,cv2.THRESH_BINARY)

# apply close and open morphology to fill tiny black and white holes
kernel = np.ones((5,5), np.uint8)
thresh = cv2.morphologyEx(thresh, cv2.MORPH_CLOSE, kernel)
thresh = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel)

# get contours (presumably just one around the nonzero pixels) 
# then crop it to bounding rectangle
contours = cv2.findContours(thresh, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
contours = contours[0] if len(contours) == 2 else contours[1]
for cntr in contours:
    x,y,w,h = cv2.boundingRect(cntr)
    crop = img[y:y+h,x:x+w]
    # show cropped image
    cv2.imshow("CROP", crop)

cv2.waitKey(0)
cv2.destroyAllWindows()

# save cropped image
cv2.imwrite('road_crop.png',crop)