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. 2021 Dec 23;12(1):22. doi: 10.3390/diagnostics12010022
Algorithm 4. Computing the gradient of the OCT image.
  • 1:

    function getGradientMap(img,flag,ws,smooth)

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        IM=denoise(IM,ws,smooth)

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        [gradImgX,gradImgY]=gradient(IM)

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        if flag==0 then

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            gradImgY=gradImgY

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        end if

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        gradImgY=normalise(gradImgY,[0,1])

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        gradImgX=abs(gradImgX)

  • 9:

        gradImgX=normalise(gradImgX,[0,1])

  • 10:

      gradImg=1(1gradImgY)gradImgX

  • 11:

      gradImg=normalise(gradImg,[0,1])

  • 12:

      return[gradImg]

  • 13:

    end function