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在此处输入图像描述

我一直在尝试检测复选框。虽然我能够检测到图像中的复选框，但我无法检测到复选框是否被选中。如果选中复选框，则复选框以某种颜色为界，如果未选中复选框，则该框以其他颜色为界。

这是我的代码：

import os
import sys
import cv2
file_path = "page1.jpg"
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("contours found: " +str(contour_list))

    # 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, 0, 255), 2)

            boxes_found += 1


    cv2.imshow('img2', img2)
    cv2.waitKey(0)

    print("Boxes found: " + str(boxes_found))

else:
    print("no file")
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