Detect Filled circle accurately and assign unique id?

Question

I want to detect a filled circle and get the value of that circle for example first circle have value 1 and carry one. I have attached the image below the circle will fill with a black or blue pen. The size of the circle is very small so basically what I am trying is that I just want the specific filled circle value and then to save it into the database. Right now its values are 1 or 2, but sometimes its value is 1 or sometimes have some world like APPLE, etc.... [1]: https://i.stack.imgur.com/gu2Go.png

import numpy as np
import cv2
import math
img = cv2.imread("small.jpg",0)
img = cv2.medianBlur(img,5)
cimg = cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)
circles =cv2.HoughCircles(img,cv2.HOUGH_GRADIENT,1,60,param1=50,param2=30,minRadius=0,maxRadius=0)
circles = np.uint16(np.around(circles))
counter=0
correctC=[]
xC=[]
yC=[]
for i in circles[0,:]: 
 #cv2.circle(cimg,(i[0],i[1]),i[2],(0,255,0),2)
 #cv2.circle(cimg,(i[0],i[1]),2,(0,0,255),2)
 cv2.putText(cimg,str(i[0])+","+str(i[1])+","+str(i[2]),(i[0],i[1]), cv2.FONT_HERSHEY_SIMPLEX, 0.3,(255,0,0),1,cv2.LINE_AA)
 correctC.append((i[0],i[1],i[2]))
 xC.append(i[0])
 yC.append(i[1])
 counter+=1

print "Circle Count is : " + str(counter)

xCS=sorted(xC)
yCS=sorted(yC)
xS=sorted(correctC, key=lambda correctC:correctC[0])

q1=sorted(xS[:4],key=lambda correctC: correctC[1])
q2=sorted(xS[4:8],key=lambda correctC: correctC[1])
q3=sorted(xS[8:12],key=lambda correctC: correctC[1])
q4=sorted(xS[12:16],key=lambda correctC: correctC[1])
q5=sorted(xS[16:20],key=lambda correctC: correctC[1])
q6=sorted(xS[20:24],key=lambda correctC: correctC[1])
q7=sorted(xS[24:28],key=lambda correctC: correctC[1])
q8=sorted(xS[28:32],key=lambda correctC: correctC[1])
q9=sorted(xS[32:],key=lambda correctC: correctC[1])

sortedTmp=[q1,q2,q3,q4,q5,q6,q7,q8,q9]
sorted=[]

for i in sortedTmp:
  for j in i:
    sorted.append(j)

for i in range(36):
 cv2.putText(cimg,str(i),(sorted[i][0],sorted[i][1]), cv2.FONT_HERSHEY_SIMPLEX, 1,(255,0,0),3,cv2.LINE_AA)

cv2.imshow('detected circles',cimg)
cv2.waitKey(0)
cv2.destroyAllWindows()

Answer 1

First of all thanks for your answer much appreciated. But the problem is when I put the full image in OpenCV, my image was cut from the bottom means the full image is not set on the whole canvas and I want to open a full image in whole canvas and then detect the filled box. I am attaching the my result screenshot below as well as my template.

My result screenshot: my result screenshot

What I am trying to I trying to resize this image in high quality and fit it into the canvas and then try to detect the filled boxes and then give the unique ID to every detect box to get the value. So my scenario is that I will give each unique id some value and then for example if ID one box is filled then give that box to one value.

My original template: Original template