通过使用形态学运算来消除表单中的水平线和垂直线

Question

我想从申请表中删除水平和垂直线，类似于所附的表格。我正在遵循OpenCV的“使用形态学运算提取水平和垂直线”功能中显示的步骤。

代码：

import numpy as np
import sys
import cv2 as cv

src = cv.imread('image.jpg') 

if src is None:
    print ('Error opening image: ' + src)

# Transform source image to gray if it is not already
if len(src.shape) != 2:
    gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
else:
    gray = src

# Show gray image
cv.imwrite('image_gray.jpg',gray)

# Apply adaptiveThreshold at the bitwise_not of gray, notice the ~ symbol
gray = cv.bitwise_not(gray)
bw = cv.adaptiveThreshold(gray, 255, cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY, 15, -2)

# Show binary image
cv.imwrite('image_binary.jpg',bw)

# Create the images that will use to extract the horizontal and vertical lines
horizontal = np.copy(bw)
vertical = np.copy(bw)

# Specify size on horizontal axis
cols = horizontal.shape[1]
horizontal_size = cols / 20
horizontal_size=int(horizontal_size)

# Create structure element for extracting horizontal lines through morphology operations
horizontalStructure = cv.getStructuringElement(cv.MORPH_RECT, (horizontal_size, 1))

# Apply morphology operations
horizontal = cv.erode(horizontal, horizontalStructure)
horizontal = cv.dilate(horizontal, horizontalStructure) 

# Show extracted horizontal lines
cv.imwrite('image_horizontal.jpg',horizontal)

# Specify size on vertical axis
rows = vertical.shape[0]
verticalsize = rows / 20
verticalsize = int(verticalsize)

# Create structure element for extracting vertical lines through morphology operations
verticalStructure = cv.getStructuringElement(cv.MORPH_RECT, (1, verticalsize))

# Apply morphology operations
vertical = cv.erode(vertical, verticalStructure)
vertical = cv.dilate(vertical, verticalStructure)

# Show extracted vertical lines
cv.imwrite('image_vertical.jpg',vertical)

# Inverse vertical image
vertical = cv.bitwise_not(vertical)
cv.imwrite('image_vertInverse.jpg',vertical)

# Step 1
edges = cv.adaptiveThreshold(vertical, 255, cv.ADAPTIVE_THRESH_MEAN_C, cv.THRESH_BINARY, 3, -2)
cv.imwrite('image_edges.jpg',edges)

# Step 2
kernel = np.ones((2, 2), np.uint8)
edges = cv.dilate(edges, kernel)
cv.imwrite('image_dilate.jpg',edges)

# Step 3
smooth = np.copy(vertical)

# Step 4
smooth = cv.blur(smooth, (2, 2))

# Step 5
(rows, cols) = np.where(edges != 0)
vertical[rows, cols] = smooth[rows, cols]

# Show final result
cv.imwrite('image_final.jpg',vertical)

这就是我得到的：

原始图片：

已转换为灰色：

二进制图像：

水平线：

垂直线：

边缘：

扩张：

最终结果：

我已经尝试回答已经提出的相关问题，但是不能解决申请表的这种特殊情况。

请帮忙吗？

Answer 1

好像所有的零件都在那里。 您可以将水平和垂直二进制图像（黑底白字）用作遮罩，并将与该遮罩匹配的所有像素设置为白色。

或者，对结构元素仅使用erode（需要多次），这将删除所有与该元素匹配的点。