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Waveform detection and analysis

asked 2013-06-05 04:18:08 -0600

melsisi gravatar image

updated 2013-06-05 11:18:48 -0600

image descriptionHi,

I'm entirely new to OpenCV, however, to my knowledge I believe it can help me achieve the below.

I have a number of images that contain text along with waveforms for several signals. I need to be able to detect that there are waveforms in those images, where they are, and be able to extract point of interest from those waveforms. Interest points in the sense of: after how many clocks, signal what becomes active and when it becomes inactive.

Would someone please point me to which FeatureDetector feature can help me achieve this?

Thanks guys!

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It's a lot easier to give helpful answers if you add example images.

Ben gravatar imageBen ( 2013-06-05 06:57:15 -0600 )edit

Thanks for the advice Ben. Done!!

melsisi gravatar imagemelsisi ( 2013-06-05 11:20:21 -0600 )edit

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answered 2013-06-06 03:33:45 -0600

Since your image is a binary image (black & white) interesting keypoint detectors like SIFT or SURF won't work that good. However you could return the the more basic approaches and use Harris Corner Detection.

What I would do is perform Harris Line Detector and detect all horizontal and vertical lines, which will help you to define parameters of your signals. By applying some logic between the measurements, like distance between line segments, you will get pretty far.

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Thank you Steven .. sounds doable. Will take it on and see how it goes.

melsisi gravatar imagemelsisi ( 2013-06-08 02:52:37 -0600 )edit

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Asked: 2013-06-05 04:18:08 -0600

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Last updated: Jun 06 '13