Group values based on Frequency density
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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
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up vote
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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
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
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
69.6k93052
69.6k93052
asked Nov 11 at 2:43
Lezwon Castellino
133
133
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