Python 检测报纸文档opencv中的文章、标题和图像
我收集了一些报纸,我的目标是在几个ROI周围设置边界框。具体而言,这些ROI是:Python 检测报纸文档opencv中的文章、标题和图像,python,opencv,contour,dilation,Python,Opencv,Contour,Dilation,我收集了一些报纸,我的目标是在几个ROI周围设置边界框。具体而言,这些ROI是: 文章 头衔 图像 我将opencv与python结合使用,以达到预期的效果。我的做法如下: Canny边缘检测(通过图像模糊进行) 扩张 轮廓检测 轮廓逼近与边界盒 我已经编写了相应的代码来实现这一点,但轮廓并不是那么精确(后面将有更多的介绍)。示例:我正在演示代码的行为: 正如您所看到的,它并没有检测到那里的所有文章,它还将几个文章的部分组合到一个边界框中。我怎样才能让这更好?我希望它更准确。我尝试了Can
- 文章
- 头衔
- 图像
import cv2
import imutils
import numpy as np
import random
# capture image
path = 'C:/Users/96171/Desktop/dataset_training/jpg/75120201.jpg'
image = cv2.imread(path)
image = imutils.resize(image, width=500)
resize_factor = 1
blur = cv2.GaussianBlur(image, (9, 9), 0)
cv2.imshow('Blurred', blur)
cv2.waitKey()
# this was the golden line that made it better
# edged = cv2.Canny(blur, 0, 150)
edged = cv2.Canny(blur, 0, 170)
cv2.imshow('Edged', edged)
cv2.waitKey()
# edged = cv2.Canny(image, 0, 150)
# cv2.imshow("Edged", edged)
# cv2.waitKey()
# dilated = cv2.dilate(edged, np.ones((15, 15)))
dilated = cv2.dilate(edged, np.ones((3, 3)), iterations=1)
cv2.imshow('Dilated', dilated)
cv2.waitKey()
def _contour_approx_bad(contour, *args, **kwargs):
"""
Approximate contour and discard non rectangular contours
:returns: True if rectangle else False
"""
perimeter = cv2.arcLength(contour, True)
approx = cv2.approxPolyDP(contour, 0.02 * perimeter, True)
return len(approx) == 4
contours, _ = cv2.findContours(dilated, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
for i, contour in enumerate(contours):
if not _contour_approx_bad(contour):
rect = cv2.boundingRect(contour)
x, y, w, h = [r*resize_factor for r in rect]
b, g = random.sample(range(0, 255), 2)
cv2.rectangle(image, (x,y), ((x+w), (y+h)), (b, g, 255), 3)
# self.crop(name=str(i), **{'start': (x,y), 'end': ((x+w), (y+h))})
cv2.imshow('Final Image', image)
cv2.waitKey()
cv2.imwrite('tobecropped.png', image)