我编写了一个脚本，它应该拍摄一张扫描的图像并检查调查结果。我已经设法让它识别调查选项框并确定在页面上选中了哪个选项框。
问题：我希望能够根据索引确定哪个框已打勾。因此，在下面的示例中，我有选项 1-5，数字 2 被勾选，但是由于某种原因，我的框的顺序在我的列表中混淆了，在控制台输出中它表明复选框 5 是票。我需要这个来正确告诉我复选框 2 已选中，以便我可以继续存储/分析完整调查的信息
import os
import sys
import cv2
if os.path.isfile(file_path):
# read the image
img = cv2.imread(file_path, 1)
# convert to gray
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# obtain inverse binary image
_, binary = cv2.threshold(gray, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)
# find contours
_, contours, hierarchy = cv2.findContours(binary, cv2.RETR_CCOMP, cv2.CHAIN_APPROX_NONE)
# select contours having a parent contour and append them to a list
contour_list = []
for h in hierarchy[0]:
if h[0] > -1 and h[2] > -1:
contour_list.append(h[2])
print str(len(contour_list))+" contours found"
# copy original image
img2 = img.copy()
a = 0
# calculate the average size of contour and use this rough size for assuming we have a checkbox
for j, i in enumerate(contour_list):
a = a + cv2.contourArea(contours[i])
mean_area = int(a / len(contour_list))
boxes_found = 0
options = 0
answer = 0
# draw those contours
for cnt in contour_list:
# if contour roughly matches our average size
if (cnt > 0) & (cv2.contourArea(contours[cnt]) > mean_area):
# print len(contours[cnt])
options += 1
answer += 1
if len(contours[cnt]) > 210:
# larger contour length signifies a tick
cv2.drawContours(img2, [contours[cnt]], -1, (0, 255, 0), 2)
print "option: "+str(options)+" ticked"
# print str(options) + " options"
# options = 0
else:
cv2.drawContours(img2, [contours[cnt]], -1, (0, 255, 255), 2)
boxes_found += 1
cv2.imshow('img2', img2)
cv2.waitKey(0)
print "Boxes found: " + str(boxes_found)
else:
print "no file"
原图：
当前输出图像：
控制台输出：
6 contours found
option: 5 ticked
Boxes found: 5