Cirrus Logic CS485 Specifikace stáhnout pdf (Strana 138)

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101

Intel

Image Processing Library Reference Manual

6-4

In addition, iplConvolveSep2D(), a convolution function that uses

separable kernels, is also provided. It works with convolution kernels that

are separable into the x and y components.

Before performing a convolution, you should create the convolution kernel

and be able to access the kernel attributes. You can do this using

the functions

iplCreateConvKernel(), iplGetConvKernel(),

iplCreateConvKernelFP() and iplGetConvKernelFP().

In release 2.0, the function

iplFixedFilter() function has been added to

the library. It allows you to convolve images with a number of commonly

used kernels that correspond to Gaussian, Laplacian, highpass, and gradient

filtering.

Also, for compatibility with previous releases, the functions

iplCreateConvKernelChar() and iplGetConvKernelChar() have

been added. They use 1-byte

char kernel values, as opposed to integer

kernel values in

iplCreateConvKernel() and iplGetConvKernel() .

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