I want to know how to detect the bullet holes on the target using Python and OpenCV.
I don’t know which approach I should follow to detect the bullet holes and calculate the scores accordingly.
You may simply use a very simple type of segmentation technique, known as
Color Segmentation in which you threshold the given RGB image to get a binary image as :
img = cv2.imread('/Users/anmoluppal/Desktop/cAMDX.jpg') img_thresholded = cv2.inRange(img, (60, 60, 60), (140, 140, 140))
The noise of the binary image can be removed using the opening operation on the binary image as :
kernel = np.ones((10,10),np.uint8) opening = cv2.morphologyEx(img_thresholded, cv2.MORPH_OPEN, kernel)
Now you have somewhat a clear picture of the bullet holes, the last part is to find these contours and draw some circle/ Rectangle around them to highlight the foreground area as:
contours, hierarchy = cv2.findContours(opening.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_NONE) print len(contours) for contour in contours: (x,y),radius = cv2.minEnclosingCircle(contour) center = (int(x),int(y)) radius = int(radius) cv2.circle(img,center,radius,(0,255,0),2) # labelling the circles around the centers, in no particular order. position = (center - 10, center + 10) text_color = (0, 0, 255) cv2.putText(img, str(i + 1), position, cv2.FONT_HERSHEY_SIMPLEX, 1, text_color, 3)
Answered By – ZdaR
Answer Checked By – Jay B. (AngularFixing Admin)