Trim 拼接过程中的图像

Question

我正在将多张图片拼接成一张。在中间步骤中，我得到如下图像：

图像完全没有必要从左边开始，右边有黑色区域。我想从这个不包含黑色区域的矩形图像中获取。也就是说，类似于：

有人可以建议我这样做的方法吗？

Answer 1

这是裁剪掉图像右侧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)

Trim 拼接过程中的图像

Trim image during Stitching

python

opencv

image-processing

computer-vision

panoramas