Group values based on Frequency density
Multi tool use
up vote
0
down vote
favorite
I am trying to detect the number of columns within a image containing a table. I have used OpenCV to find contours within the image. After a little tuning I have the following image:
Using the data from the x axis, I have created a histogram to show me the frequency density on the axis.
This plot shows the higher concentration at coordinates containing text. You can see 9 such group, same as the number of columns. What I wish to do now is to extract the coordinates within those groups so that I can get the min and the max and hence capture the start pixel and end pixel of the columns. i.e.
Get values with following windows: 0-150, 150-250 ..etc.
I'll input multiple tables with different styling. I wish to automatimally detect such density clusters within the plot and group those values together.
python numpy opencv histogram detection
edited Nov 11 at 2:45
eyllanesc
69.2k93052
asked Nov 11 at 2:43
Lezwon Castellino
133
add a comment |
up vote
0
down vote
favorite
I am trying to detect the number of columns within a image containing a table. I have used OpenCV to find contours within the image. After a little tuning I have the following image:
Using the data from the x axis, I have created a histogram to show me the frequency density on the axis.
This plot shows the higher concentration at coordinates containing text. You can see 9 such group, same as the number of columns. What I wish to do now is to extract the coordinates within those groups so that I can get the min and the max and hence capture the start pixel and end pixel of the columns. i.e.
Get values with following windows: 0-150, 150-250 ..etc.
I'll input multiple tables with different styling. I wish to automatimally detect such density clusters within the plot and group those values together.
python numpy opencv histogram detection
edited Nov 11 at 2:45
eyllanesc
69.2k93052
asked Nov 11 at 2:43
Lezwon Castellino
133
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I am trying to detect the number of columns within a image containing a table. I have used OpenCV to find contours within the image. After a little tuning I have the following image:
Using the data from the x axis, I have created a histogram to show me the frequency density on the axis.
This plot shows the higher concentration at coordinates containing text. You can see 9 such group, same as the number of columns. What I wish to do now is to extract the coordinates within those groups so that I can get the min and the max and hence capture the start pixel and end pixel of the columns. i.e.
Get values with following windows: 0-150, 150-250 ..etc.
I'll input multiple tables with different styling. I wish to automatimally detect such density clusters within the plot and group those values together.
python numpy opencv histogram detection
edited Nov 11 at 2:45
eyllanesc
69.2k93052
asked Nov 11 at 2:43
Lezwon Castellino
133
I am trying to detect the number of columns within a image containing a table. I have used OpenCV to find contours within the image. After a little tuning I have the following image:
Using the data from the x axis, I have created a histogram to show me the frequency density on the axis.
This plot shows the higher concentration at coordinates containing text. You can see 9 such group, same as the number of columns. What I wish to do now is to extract the coordinates within those groups so that I can get the min and the max and hence capture the start pixel and end pixel of the columns. i.e.
Get values with following windows: 0-150, 150-250 ..etc.
I'll input multiple tables with different styling. I wish to automatimally detect such density clusters within the plot and group those values together.
python numpy opencv histogram detection
python numpy opencv histogram detection
edited Nov 11 at 2:45
eyllanesc
69.2k93052
asked Nov 11 at 2:43
Lezwon Castellino
133
edited Nov 11 at 2:45
eyllanesc
69.2k93052
asked Nov 11 at 2:43
Lezwon Castellino
133
edited Nov 11 at 2:45
eyllanesc
69.2k93052
edited Nov 11 at 2:45
eyllanesc
69.2k93052
edited Nov 11 at 2:45
eyllanesc
69.2k93052
69.2k93052
asked Nov 11 at 2:43
Lezwon Castellino
133
asked Nov 11 at 2:43
Lezwon Castellino
133
asked Nov 11 at 2:43
Lezwon Castellino
133
133
add a comment |
add a comment |
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
active
oldest
votes
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%2f53245395%2fgroup-values-based-on-frequency-density%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
9L ecVXxxTOx,7MC3 P,9Jnec,NOUVJpqIq uWFSt4SyofRjZdQQf8IH3ln N DQ,0fzuQgy vTOgEDT2o6
