GradientVectorPrewitt/Scharr/Sobel

Adriaan_van_Os — Sun, 23 Feb 2020 14:27:29 GMT

I have two suggestions related to the parameters of GradientVectorPrewitt, GradientVectorScharr and GradientVectorSobel.

1. The functions are quite useful, for example in implementing non-linear diffusion functions that are not in IPP (Perona-Malik, Weickert and Charbonnier https://en.wikipedia.org/wiki/Anisotropic_diffusion). But the ippiGradientVector functions require that space is allocated for all return images: Gx, Gy, magnitude and angle. That is a waste of space and computing-time for return parameters that are not relevant for further calculations. For example, typically one may need magnitude only. So, I suggest that these functions permit return image parameters to be NULL.

2. Further calculations may need the square-magnitude rather than the magnitude. So, to save a square-root followed by a square, I suggest ippNormSquareL2.

Of course, I understand that these functions can be emulated with other IPP calls.

Regards,

Adriaan van Os

Dear Adriaan van Os,

Ruqiu_C_Intel — Mon, 24 Feb 2020 02:07:29 GMT

Dear Adriaan van Os,

Thanks a lot for your suggestions! We will discuss the suggestions carefully internally.

Best Regards,

Ruqiu

Re: GradientVectorPrewitt/Scharr/Sobel

Ruqiu_C_Intel — Wed, 12 May 2021 13:29:10 GMT

We have already put the new features into our develop plan.

We will no longer respond to this thread. Any further interaction in this thread will be considered community only.

topic Dear Adriaan van Os, in Intel® Integrated Performance Primitives

GradientVectorPrewitt/Scharr/Sobel

Dear Adriaan van Os,

Re: GradientVectorPrewitt/Scharr/Sobel