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| 2014-08-01 04:23:56 -0600 | commented answer | How to extract pixels from a rotated box2d? Thanks, that worked. Here's a snippet of the python code that I used: https://gist.github.com/tleyden/d5f2fa909c5e55d0d139 |
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| 2014-07-31 02:30:22 -0600 | asked a question | How to extract pixels from a rotated box2d? I have a box2d that was returned from calling cvMinAreaRect2() on a contour, and it's rotated at 45 degrees. I want to extract the pixels from that contour into it's own image, where the box2d is rotated so that it's upright. |
| 2014-07-30 07:38:59 -0600 | commented question | Remove region with certain color from image No ethical issues -- I'm just trying to find a specific field in a form. Actually, to flip the question around .. in case it's easier, I want to get the region which includes the text "VC22500E - DRIVEWAY". |
| 2014-07-30 06:07:19 -0600 | asked a question | Remove region with certain color from image Given an image such as:
I want to remove the "red text" from this image. There will be a lot of lighting variations in the images I need to process, and I've read that using the HSV color model would be more robust against lighting variations, but I'm not sure where to go from there. |
| 2014-06-21 23:29:49 -0600 | received badge | ● Necromancer (source) |
| 2014-06-21 14:12:53 -0600 | answered a question | Java OpenCV + Tesseract OCR “code” regocnition Using Tesseract via OpenOCR running on Google Compute Engine, I OCR'd your original image and got the following output:
I then tried to pre-process it via Stroke Width Transform using this docker image and the following command: Which resulted in this pre-processed image:
When I re-ran Tesseract on it, I got this output:
which isn't perfect, but is a pretty big improvement. |
| 2014-06-10 09:37:23 -0600 | commented answer | Extracting region(s) from parking ticket The ticket's will be photographed by mobile devices, do you think this approach will still work -- or would you recommend a different approach in that case? |
| 2014-06-09 10:29:52 -0600 | commented answer | Extracting region(s) from parking ticket Haris thanks so much for your reply. I should have mentioned though that I doctored the image to remove a few fields for personal privacy reasons. I just updated the original question to be clearer: I've doctored the image and removed a few fields by drawing a box and deleting. (eg, the Citation and VIN fields both have a white box where the text would normally be) How would I extract the text for the Date field (04/21/2014) or any of the other fields (Time Issued, Year, etc)? |
| 2014-06-09 10:27:16 -0600 | received badge | ● Editor (source) |
| 2014-06-07 14:50:47 -0600 | asked a question | Extracting region(s) from parking ticket I want to extract several regions containing text from a parking ticket like: http://cl.ly/image/450h2z3t3j17 For personal privacy reasons, I've doctored the image and removed a few fields by drawing a box and deleting. (eg, the Citation and VIN fields both have a white box where the text would normally be) How would I extract the text for the Date field (04/21/2014) or any of the other fields (Time Issued, Year, etc)? The reason I want to extract the text is to feed into Tesseract OCR, so I can index the document on these fields. I'm new to opencv, can someone point me in the right direction on how to do this? |
