How i give ID all detected circle in image?

Python
1

I am trying to get the values of all filled boxes, I have attached the code below right now sometimes it misses filled boxes too can anyone let me know how can i improve their accuracy, also how can I give id to all circles so then i get the id of each circle and assign some value to each id, also i have to check which id circle is filled and which not so then i can assign the value of every filled cirle.

So basically what I am trying I want the all-filled circle value in id, value pair and check which one is filled and which one is not, and then fill all the fix circle values into DB.

s7tU5
s7tU51127×975 122 KB 

# Imports:
import numpy as np
import cv2

# Image path:
fileName = "bb.jpg"
#path = "D://opencvImages//"

# Read image:
inputImage = cv2.imread(fileName)

# To Grayscale:
grayscaleImage = cv2.cvtColor(inputImage, cv2.COLOR_BGR2GRAY)

# Threshold:
_, binaryImage = cv2.threshold(grayscaleImage, 0, 255, cv2.THRESH_OTSU + cv2.THRESH_BINARY_INV)

# Get Connected Components:
output = cv2.connectedComponentsWithStats(binaryImage, 8, cv2.CV_32S)
(numLabels, labels, stats, centroids) = output

# Store target bounding boxes here:
boundingBoxes = []

# Loop through connected components:
for i in range(1, numLabels):

    # Get blob properties:
    x = stats[i, cv2.CC_STAT_LEFT]
    y = stats[i, cv2.CC_STAT_TOP]
    w = stats[i, cv2.CC_STAT_WIDTH]
    h = stats[i, cv2.CC_STAT_HEIGHT]
    blobArea = stats[i, cv2.CC_STAT_AREA]
    (cX, cY) = centroids[i]

    # Get bounding box area:
    boxArea = w * h

    # Compute area difference
    areaDifference = boxArea - blobArea
    # Compute aspect ratio:
    aRatio = w / h

    # Set blob filter:
    minAreaDifference = 800
    minAspectRatio = 0.9
    maxAspectRatio = 1.1

    # Default color is red:
    color = (0, 0, 255)

    if areaDifference < minAreaDifference:
        if aRatio > minAspectRatio and aRatio < maxAspectRatio:
            # Got target blob
            # Color is now blue:
            color = (255, 0, 0)
            # Store bounding box in list:
            boundingBoxes.append((x, y, w, h))

    # Draw rectangle:
    cv2.rectangle(inputImage, (x, y), (x + w, y + h), color, 3)

# Show the results of the filter:
cv2.imshow("Bounding Rects", inputImage)