sort pixels from array python/opencv
up vote
0
down vote
favorite
contours
Hi everybody,
I try to identify the pixel coordinates of that point in the red circle inside the image posted above.
After applying all the following steps to my initial image, I ended with the result of cv2.findContours() which -depending on the image- contains sometimes around 50 contours.
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
dilation = cv2.dilate(image, (3, 3), iterations=3)
image = cv2.medianBlur(image, 9)
canny_output = cv2.Canny(image, 130, 255)
roi_upper = canny_output[1:151, 1:w]
im, contours, hierarchy = cv2.findContours(roi_upper.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
I think about iterating through all pixels from all arrays in contours, finding the closest ones to the upper margin (smallest y for a given pixel), put them in a list and afterwards finding the biggest one in this list.
Being an absolute novice I don't know if this is the right way to go. And if is, how to do that?
Can someone help, please? Regards,
edit: I can't post images?? only a link?
python arrays opencv pixel contour
asked Nov 21 at 19:33
Laurentiu
12
add a comment |
up vote
0
down vote
favorite
contours
Hi everybody,
I try to identify the pixel coordinates of that point in the red circle inside the image posted above.
After applying all the following steps to my initial image, I ended with the result of cv2.findContours() which -depending on the image- contains sometimes around 50 contours.
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
dilation = cv2.dilate(image, (3, 3), iterations=3)
image = cv2.medianBlur(image, 9)
canny_output = cv2.Canny(image, 130, 255)
roi_upper = canny_output[1:151, 1:w]
im, contours, hierarchy = cv2.findContours(roi_upper.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
I think about iterating through all pixels from all arrays in contours, finding the closest ones to the upper margin (smallest y for a given pixel), put them in a list and afterwards finding the biggest one in this list.
Being an absolute novice I don't know if this is the right way to go. And if is, how to do that?
Can someone help, please? Regards,
edit: I can't post images?? only a link?
python arrays opencv pixel contour
asked Nov 21 at 19:33
Laurentiu
12
It's the wrong way to go. I will extract everything directly from Canny which is a ndarray 3d.
– Laurentiu
Nov 26 at 17:54
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
contours
Hi everybody,
I try to identify the pixel coordinates of that point in the red circle inside the image posted above.
After applying all the following steps to my initial image, I ended with the result of cv2.findContours() which -depending on the image- contains sometimes around 50 contours.
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
dilation = cv2.dilate(image, (3, 3), iterations=3)
image = cv2.medianBlur(image, 9)
canny_output = cv2.Canny(image, 130, 255)
roi_upper = canny_output[1:151, 1:w]
im, contours, hierarchy = cv2.findContours(roi_upper.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
I think about iterating through all pixels from all arrays in contours, finding the closest ones to the upper margin (smallest y for a given pixel), put them in a list and afterwards finding the biggest one in this list.
Being an absolute novice I don't know if this is the right way to go. And if is, how to do that?
Can someone help, please? Regards,
edit: I can't post images?? only a link?
python arrays opencv pixel contour
asked Nov 21 at 19:33
Laurentiu
12
contours
Hi everybody,
I try to identify the pixel coordinates of that point in the red circle inside the image posted above.
After applying all the following steps to my initial image, I ended with the result of cv2.findContours() which -depending on the image- contains sometimes around 50 contours.
image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
dilation = cv2.dilate(image, (3, 3), iterations=3)
image = cv2.medianBlur(image, 9)
canny_output = cv2.Canny(image, 130, 255)
roi_upper = canny_output[1:151, 1:w]
im, contours, hierarchy = cv2.findContours(roi_upper.copy(), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
I think about iterating through all pixels from all arrays in contours, finding the closest ones to the upper margin (smallest y for a given pixel), put them in a list and afterwards finding the biggest one in this list.
Being an absolute novice I don't know if this is the right way to go. And if is, how to do that?
Can someone help, please? Regards,
edit: I can't post images?? only a link?
python arrays opencv pixel contour
python arrays opencv pixel contour
asked Nov 21 at 19:33
Laurentiu
12
asked Nov 21 at 19:33
Laurentiu
12
edited Nov 21 at 20:07
asked Nov 21 at 19:33
Laurentiu
12
asked Nov 21 at 19:33
Laurentiu
12
asked Nov 21 at 19:33
Laurentiu
12
12
It's the wrong way to go. I will extract everything directly from Canny which is a ndarray 3d.
– Laurentiu
Nov 26 at 17:54
add a comment |
It's the wrong way to go. I will extract everything directly from Canny which is a ndarray 3d.
– Laurentiu
Nov 26 at 17:54
It's the wrong way to go. I will extract everything directly from Canny which is a ndarray 3d.
– Laurentiu
Nov 26 at 17:54
It's the wrong way to go. I will extract everything directly from Canny which is a ndarray 3d.
– Laurentiu
Nov 26 at 17:54
add a comment |
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53419334%2fsort-pixels-from-array-python-opencv%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
It's the wrong way to go. I will extract everything directly from Canny which is a ndarray 3d.
– Laurentiu
Nov 26 at 17:54