Merge pull request #2371 from invigorzz313/CircleDetect

Circle detection in images

Author: avinashkranjan

Circle_Detect_HoughCircle/HoughCircle.py

@@ -0,0 +1,26 @@
+# from turtle import circle
+import cv2
+import numpy as np
+from tkinter.filedialog import *
+import tkinter as tk
+
+photo = askopenfilename()
+img = cv2.imread(photo,cv2.IMREAD_GRAYSCALE)
+blurred = cv2.medianBlur(img,5)
+edges = cv2.Canny(blurred,50,150,apertureSize=3)
+# the image read in grayscale format is blurred and edges are detected in it
+circles = cv2.HoughCircles(edges,cv2.HOUGH_GRADIENT,1,30,param1=50,param2=31,minRadius=0,maxRadius=0)
+# the parameters in the above function needs to be adjusted for each image accordingly.
+circles = np.uint16(np.around(circles))
+
+colorImg = cv2.cvtColor(img,cv2.COLOR_GRAY2BGR)
+for i in circles[0,:]:
+    cv2.circle(colorImg,(i[0],i[1]),i[2],(0,255,0),2)
+    # drawing the circle
+    cv2.circle(colorImg,(i[0],i[1]),2,(0,0,255),3)
+    # drawing its center
+
+cv2.imwrite('output.jpg',colorImg)
+cv2.imshow('output',colorImg)
+cv2.waitKey(2000)
+cv2.destroyAllWindows()

Circle_Detect_HoughCircle/ReadMe.md

@@ -0,0 +1,25 @@
+# Circle detection
+This python script will allow us to identify circles in an image using Hough circle transform
+
+## Setup Instructions
+### Install python3
+sudo apt-get install python3
+### Install pip (package installer for python)
+sudo apt-get install python3-pip
+### Install Numpy library with pip
+pip3 install numpy
+### Install OpenCV library with pip
+pip3 install opencv-python
+### Install tkinter library
+sudo apt-get install python3-tk
+
+## Details/Output
+User is prompted to select an image and this script detects circles in it using the hough circle transform.  
+ 
+**Note** Each image needs its own set of parameters in cv2.HoughCircles() function. What worked for one might not work for another image.  
+minDist(minimum distance between two centers), param1(parameter 1), param2(parameter 2) are to be adjusted until we get desired output.
+
+The output image is written/stored in the current folder.
+
+## Author
+Github: invigorzz313