python opencv全景黑线

Question

我正在使用 Python OpenCV 处理全景图。谁能告诉我如何去除最终图像中的黑线？我在想也许我应该先检查一下颜色，即0,0,0 复制到图集图像之前，但我不太清楚该怎么做。

def warpTwoImages(img1, img2, H):
    '''warp img2 to img1 with homograph H'''
    h1,w1 = img1.shape[:2]
    h2,w2 = img2.shape[:2]
    pts1 = np.float32([[0,0],[0,h1],[w1,h1],[w1,0]]).reshape(-1,1,2)
    pts2 = np.float32([[0,0],[0,h2],[w2,h2],[w2,0]]).reshape(-1,1,2)
    pts2_ = cv2.perspectiveTransform(pts2, H)
    pts = np.concatenate((pts1, pts2_), axis=0)
    [xmin, ymin] = np.int32(pts.min(axis=0).ravel() - 0.5)
    [xmax, ymax] = np.int32(pts.max(axis=0).ravel() + 0.5)
    t = [-xmin,-ymin]
    Ht = np.array([[1,0,t[0]],[0,1,t[1]],[0,0,1]]) # translate

    result = cv2.warpPerspective(img2, Ht.dot(H), (xmax-xmin, ymax-ymin))
    result[t[1]:h1+t[1],t[0]:w1+t[0]] = img1
    return result

Answer 1

这个答案取决于 warpPrespicteve 函数来处理 RGBA。您可以尝试使用每个图像的 alpha 通道。在包装之前将每个图像转换为 RGBA（请参阅下面的代码），黑线的 alpha 通道将为 0，而对于所有其他像素，它将为 255。

import cv2
import numpy as np

# Read img
img = cv2.imread('i.jpg')

# Create mask from all the black lines
mask = np.zeros((img.shape[0],img.shape[1]),np.uint8)
cv2.inRange(img,(0,0,0),(1,1,1),mask)
mask[mask==0]=1
mask[mask==255]=0
mask = mask*255

b_channel, g_channel, r_channel = cv2.split(img)

# Create a new image with 4 channels the forth channel Aplha will give the opacity for each pixel
newImage = cv2.merge((b_channel, g_channel, r_channel, mask))

python opencv全景黑线

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python

opencv

image-processing

computer-vision

panoramas