Roberts edge detector.

 

function call:

[out_img1]=vsg('Roberts',in_img1);

 

Arguments:

in_img1 input image, 3 channel RGB, 1 channel greyscale or binary image, or DICOM image.

connected – an integer specifying whether a 4 or 8 connected scheme should be used.

 

Description:

The simplest gradient edge detector, the Robert cross operator, computes the first derivatives in two orthogonal directions. This is calculated from cross differences, implemented using two 2×2 convolution kernels.

out_img1 - An image which has dimensions the same as the input image. The output image displays the result of using a roberts kernel on the input image, which highlights edges.

 

Example:

img = openimage('lake.jpg');

h=figure;image(img); set(h,'Name','Input');

[out_img1]=vsg('Roberts',img);

h=figure; image(uint8(out_img1));set(h,'Name','Roberts Edge Detection');

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