How to delete (noisy and short) lines?
up vote
0
down vote
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Using OpenCV with Python, I'm trying to find horizontal and vertical lines in my image.
This is my output :
vertical_lines
horizontal_lines
Well, I'm trying to detect only the long lines and delete the short (noisy) lines.
I hope that my output looks like this modified image:
Final_Horizontal_lines
I can provide you with my code if needed.
python opencv image-processing line noise
add a comment |
up vote
0
down vote
favorite
Using OpenCV with Python, I'm trying to find horizontal and vertical lines in my image.
This is my output :
vertical_lines
horizontal_lines
Well, I'm trying to detect only the long lines and delete the short (noisy) lines.
I hope that my output looks like this modified image:
Final_Horizontal_lines
I can provide you with my code if needed.
python opencv image-processing line noise
I used HoughlinesP (minLineLength ) but still nothing -_-
– Capito
Nov 21 at 15:09
1
Yes, show your code. also show the input image.
– Cris Luengo
Nov 21 at 16:40
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
Using OpenCV with Python, I'm trying to find horizontal and vertical lines in my image.
This is my output :
vertical_lines
horizontal_lines
Well, I'm trying to detect only the long lines and delete the short (noisy) lines.
I hope that my output looks like this modified image:
Final_Horizontal_lines
I can provide you with my code if needed.
python opencv image-processing line noise
Using OpenCV with Python, I'm trying to find horizontal and vertical lines in my image.
This is my output :
vertical_lines
horizontal_lines
Well, I'm trying to detect only the long lines and delete the short (noisy) lines.
I hope that my output looks like this modified image:
Final_Horizontal_lines
I can provide you with my code if needed.
python opencv image-processing line noise
python opencv image-processing line noise
edited Nov 21 at 16:03
eyllanesc
70.4k93052
70.4k93052
asked Nov 21 at 15:07
Capito
33
33
I used HoughlinesP (minLineLength ) but still nothing -_-
– Capito
Nov 21 at 15:09
1
Yes, show your code. also show the input image.
– Cris Luengo
Nov 21 at 16:40
add a comment |
I used HoughlinesP (minLineLength ) but still nothing -_-
– Capito
Nov 21 at 15:09
1
Yes, show your code. also show the input image.
– Cris Luengo
Nov 21 at 16:40
I used HoughlinesP (minLineLength ) but still nothing -_-
– Capito
Nov 21 at 15:09
I used HoughlinesP (minLineLength ) but still nothing -_-
– Capito
Nov 21 at 15:09
1
1
Yes, show your code. also show the input image.
– Cris Luengo
Nov 21 at 16:40
Yes, show your code. also show the input image.
– Cris Luengo
Nov 21 at 16:40
add a comment |
1 Answer
1
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0
down vote
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You can solve that problem by using contours.
im2, contours, hierarchy = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for contour in contours:
(x, y, w, h) = cv2.boundingRect(contour)
# if h<500: # check the length of verical lines
if w<500: # check the length of horizontal lines
cv2.fillConvexPoly(gray,contour,0) #fill the contour with black color
add a comment |
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
0
down vote
accepted
You can solve that problem by using contours.
im2, contours, hierarchy = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for contour in contours:
(x, y, w, h) = cv2.boundingRect(contour)
# if h<500: # check the length of verical lines
if w<500: # check the length of horizontal lines
cv2.fillConvexPoly(gray,contour,0) #fill the contour with black color
add a comment |
up vote
0
down vote
accepted
You can solve that problem by using contours.
im2, contours, hierarchy = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for contour in contours:
(x, y, w, h) = cv2.boundingRect(contour)
# if h<500: # check the length of verical lines
if w<500: # check the length of horizontal lines
cv2.fillConvexPoly(gray,contour,0) #fill the contour with black color
add a comment |
up vote
0
down vote
accepted
up vote
0
down vote
accepted
You can solve that problem by using contours.
im2, contours, hierarchy = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for contour in contours:
(x, y, w, h) = cv2.boundingRect(contour)
# if h<500: # check the length of verical lines
if w<500: # check the length of horizontal lines
cv2.fillConvexPoly(gray,contour,0) #fill the contour with black color
You can solve that problem by using contours.
im2, contours, hierarchy = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_NONE)
for contour in contours:
(x, y, w, h) = cv2.boundingRect(contour)
# if h<500: # check the length of verical lines
if w<500: # check the length of horizontal lines
cv2.fillConvexPoly(gray,contour,0) #fill the contour with black color
answered Nov 22 at 1:59
Ha Bom
1
1
add a comment |
add a comment |
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I used HoughlinesP (minLineLength ) but still nothing -_-
– Capito
Nov 21 at 15:09
1
Yes, show your code. also show the input image.
– Cris Luengo
Nov 21 at 16:40