ROBERTS_ED_CVIP

roberts_ed_cvip() - performs a Roberts edge detection.

Contents

SYNTAX

edge_mag = roberts_ed_cvip( input_image, Type )

Input Parameters include :

                 Type 1- Regular gradient

                 G[I(r,c)] =  ( (I(r,c) - I(r+1,c+1)).^2 + (I(r+1,c) - I(r,c+1)).^2 )^1/2

                 Type 2- Roberts gradient

                 G[I(r,c)] = |I(r,c) - I(r+1,c+1)| + | I(r+1,c) - I(r,c+1)|

output Parameters include:

DESCRIPTION

This function applies the Roberts edge detection operator to the input_image. It is a simple approximation to the first derivative. It will work best with binary images. There are two forms of Roberts operator.

The edge points are marked in the output image edge_mag.

REFERENCE

1. Scott E Umbaugh. DIGITAL IMAGE PROCESSING AND ANALYSIS: Applications with MATLAB and CVIPtools, 3rd Edition.

EXAMPLE

% read image

 input_image = imread('butterfly.tif');

% Type

 Type = 2;

% Calling function

 edge_mag = roberts_ed_cvip(input_image, Type);

% Display input image

 figure;imshow(input_image);title('Input Image');

% Display output image

 figure; imshow(hist_stretch_cvip(edge_mag,0,1,0,0));title('Output Image');

CREDITS

Author: Mehrdad Alvandipour, March 2017
Copyright © 2017-2018 Scott E Umbaugh
For updates visit CVIP Toolbox Website

Published with MATLAB® R2014b