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Re: 2D Savitzky-Golay derivative filter? [message #83092]

Sun, 03 February 2013 13:37

dg86
Messages: 118
Registered: September 2012

Senior Member

Thanks David for following up.

Sobel and Roberts both use nearest-neighbor estimates for derivatives, and thus do a bad job of computing gradients in noisy images. Savitzky-Golay does a much better job at rejecting noise because it uses information over a larger domain. It might seem tempting just to smooth the image to suppress noise before using a simple derivative operator. The problem is that smoothing suppresses real features along with the noise. Savitzky-Golay is much better at preserving features such as peaks and ridges.

So, unless somebody already has an implementation, I might spend a couple of days rolling my own.

All the best,

David

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		Re: 2D Savitzky-Golay derivative filter? By: dg86 on Sun, 03 February 2013 13:37
		Re: 2D Savitzky-Golay derivative filter? By: David Fanning on Sun, 03 February 2013 11:08
		Re: 2D Savitzky-Golay derivative filter? By: dg86 on Wed, 06 February 2013 18:19

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