Defect Detection using OpenCV

asked 2018-04-26 00:45:54 -0600

Dear Members,

I am trying to detect defect in image by comparing defected image with original one. I have achieved it so far using canny algorithm.

Now i have to fill color to defected area after applying canny algorithm to it.

Kindly let me know for the same.

Thanks in advance.

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Comments

please show us, what you tried, code, images ...

berak ( 2018-04-26 00:59:51 -0600 )edit

Hi Berak,

 Thanks for reply,

I am attaching code:

im = cv2.imread("C:/Original_Image.jpg", 0)
im1 = cv2.imread("C:/Defect_Image.jpg", 0)

diff = cv2.absdiff(im, im1)
#cv2.imwrite("C:\this.jpg", diff)
ret, thresh = cv2.threshold(diff, 0, 255, cv2.THRESH_BINARY_INV | cv2.THRESH_OTSU)
contours, hierarchy, we = cv2.findContours(thresh, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE)
mask = cv2.cvtColor(im1, cv2.COLOR_GRAY2BGR)

try:
    hierarchy = hierarchy[0]
except:
    hierarchy = []

for contour, hier in zip(contours, hierarchy):
    (x, y, w, h) = cv2.boundingRect(contour)
    cv2.rectangle(mask, (x, y), (x+w, y+h), (255, 0, 0), 3)

cv2.imwrite("C:\mask.jpg", mask)
cv2.imwrite("C:\thresh.jpg", thresh)

Ranganath ( 2018-04-26 04:39:48 -0600 )edit

im: original image without defect im1: with defect (A scratch on image)

Ranganath ( 2018-04-26 04:43:30 -0600 )edit

problem what i am facing is i am not able to get rectangle shape on defected areas.

Ranganath ( 2018-04-26 04:45:26 -0600 )edit

Images ... my guess is your contours are not closed hence incorrect bounding rects

StevenPuttemans ( 2018-04-27 07:05:03 -0600 )edit

Hi Steven,

  How to work on that?

Ranganath ( 2018-04-30 01:02:43 -0600 )edit

add a comment

import cv2 im = cv2.imread("image.jpg", 0) im1 = cv2.imread("image1.jpg", 0) diff = cv2.absdiff(im, im1) ret, thresh = cv2.threshold(diff, 0, 255, cv2.THRESH_BINARY_INV+cv2.THRESH_OTSU) contours, hierarchy = cv2.findContours(thresh, cv2.RETR_LIST, cv2.CHAIN_APPROX_SIMPLE) mask = cv2.cvtColor(im1, cv2.COLOR_GRAY2BGR) try: hierarchy = hierarchy[0] except: hierarchy = [] for contour in contours[:-1]: (x, y, w, h) = cv2.boundingRect(contour) area = cv2.contourArea(contour) if area>100: cv2.rectangle(im1, (x, y), (x+w, y+h), (255, 0, 0), 3) cv2.imshow("mask", im1) cv2.imshow("thresh", thresh) cv2.waitKey(0)

Defect Detection using OpenCV

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