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Detect Closed loop through from the image

Hi, I am trying to detect the closed loop within the attached images and mentioned below code I am able to draw contours of closed loop and I need to detect the closed-loop contour Image 1 Without any Pattern image description

Image 2 With the pattern

image description

Image 3 Closed Contour

image description

My major Question is how can I detect the coutour drawn in the image is closed loop or open loop

Note: The pattern can anything if its not enclosed then it will give Flase in output else it will give true

Code :

import cv2, imutils import numpy as np

image = cv2.imread("mask5.jpg") gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

frame = cv2.imread("mask4.jpg") static_back = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

while(True):

diff_frame = cv2.absdiff(static_back, gray)

thresh_frame = cv2.threshold(diff_frame, 10, 255, cv2.THRESH_BINARY)[1]

thresh_frame = cv2.dilate(thresh_frame, None, iterations = 1)

(cnts, h) = cv2.findContours(thresh_frame.copy(), cv2.RETR_CCOMP, cv2.CHAIN_APPROX_NONE)
for contour in cnts:
    if cv2.contourArea(contour) > 10000:
        cv2.drawContours(frame, contour, -1, (0, 255, 0), 5)    
result = imutils.resize(frame, width=320)
cv2.imshow("Frame", result)
cv2.imwrite("Frame.jpg", result)
key = cv2.waitKey(1)
if key == 27:
    break

Detect Closed loop through from the image

Image 2 With the pattern

image description

Image 3 Closed Contour

image description

My major Question is how can I detect the coutour drawn in the image is closed loop or open loop

Note: The pattern can anything if its not enclosed then it will give Flase in output else it will give true

Code :

import cv2, imutils import numpy as np np image = cv2.imread("mask5.jpg") gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) cv2.COLOR_BGR2GRAY) frame = cv2.imread("mask4.jpg") static_back = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) while(True): cv2.COLOR_BGR2GRAY) while(True): diff_frame = cv2.absdiff(static_back, gray) thresh_frame = cv2.threshold(diff_frame, 10, 255, cv2.THRESH_BINARY)[1] thresh_frame = cv2.dilate(thresh_frame, None, iterations = 1) (cnts, h) = cv2.findContours(thresh_frame.copy(), cv2.RETR_CCOMP, cv2.CHAIN_APPROX_NONE) for contour in cnts: if cv2.contourArea(contour) > 10000: cv2.drawContours(frame, contour, -1, (0, 255, 0), 5) result = imutils.resize(frame, width=320) cv2.imshow("Frame", result) cv2.imwrite("Frame.jpg", result) key = cv2.waitKey(1) if key == 27: break

          3    None 
      updated 
        2019-07-01 21:40:00 -0600
     
    supra56  
 943  ●9 ●6  
 
 
 
  
 
 
 
  Detect Closed loop through from the image
 Hi, I am trying to detect the closed loop within the attached images and mentioned below code I am able to draw contours of closed loop and I need to detect the closed-loop contour
Image 1 Without any Pattern
 Image 2 With the pattern 
 
 Image 3 Closed Contour
 
 My major Question is how can I detect the coutour drawn in the image is closed loop or open loop
 Note: The pattern can anything if its not enclosed then it will give Flase in output else it will give true
 Code : 
 import cv2, imutils imutils
 import numpy as np


np
 image = cv2.imread("mask5.jpg") cv2.imread("mask5.jpg")
gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

 frame = cv2.imread("mask4.jpg") cv2.imread("mask4.jpg")
static_back = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
 
while(True):

    diff_frame = cv2.absdiff(static_back, gray)

    thresh_frame = cv2.threshold(diff_frame, 10, 255, cv2.THRESH_BINARY)[1]
cv2.THRESH_BINARY)[1])

    thresh_frame = cv2.dilate(thresh_frame, None, iterations = 1)

    (cnts, h) = cv2.findContours(thresh_frame.copy(), cv2.RETR_CCOMP,  cv2.CHAIN_APPROX_NONE)
    for contour in cnts:
        if cv2.contourArea(contour) > 10000:
            cv2.drawContours(frame, contour, -1, (0, 255, 0), 5)    
    result = imutils.resize(frame, width=320)
    cv2.imshow("Frame", result)
    cv2.imwrite("Frame.jpg", result)
    key = cv2.waitKey(1)
    if key == 27:
        break
 
 
 
          4    None 
      updated 
        2019-07-01 21:41:23 -0600
     
    supra56  
 943  ●9 ●6  
 
 
 
  
 
 
 
  Detect Closed loop through from the image
 Hi, I am trying to detect the closed loop within the attached images and mentioned below code I am able to draw contours of closed loop and I need to detect the closed-loop contour
Image 1 Without any Pattern
 Image 2 With the pattern 
 
 Image 3 Closed Contour
 
 My major Question is how can I detect the coutour drawn in the image is closed loop or open loop
 Note: The pattern can anything if its not enclosed then it will give Flase in output else it will give true
 Code : 
 Code: 
  import cv2, imutils
  import numpy as np
 np

    image = cv2.imread("mask5.jpg")
 gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

 frame = cv2.imread("mask4.jpg")
 static_back = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

 while(True):

     diff_frame = cv2.absdiff(static_back, gray)

     thresh_frame = cv2.threshold(diff_frame, 10, 255, cv2.THRESH_BINARY)[1])

     thresh_frame = cv2.dilate(thresh_frame, None, iterations = 1)

     (cnts, h) = cv2.findContours(thresh_frame.copy(), cv2.RETR_CCOMP, 
     cv2.CHAIN_APPROX_NONE)
     for contour in cnts:
         if cv2.contourArea(contour) > 10000:
             cv2.drawContours(frame, contour, -1, (0, 255, 0), 5)    
     result = imutils.resize(frame, width=320)
     cv2.imshow("Frame", result)
     cv2.imwrite("Frame.jpg", result)
     key = cv2.waitKey(1)
     if key == 27:
         break