LAPLACIAN_GAUSS_ED_CVIP

laplacian_gauss_ed_cvip() - laplacian_gauss is an edge detector.

SYNTAX
DESCRIPTION
REFERENCE
EXAMPLE
CREDITS

SYNTAX

[ I ] = laplacian_gauss_ed_cvip( input_image, std, method )

Input Parameters include:

input_image - A multibad input image.

std - The Standard Deviation of the Gaussian blur kernel. the size of the gaussian is related to std by: size = 4*std Thus we have 2 standard deviation of the gaussian inside the kernel.

method - integer values of 1-4. Representing different laplacian masks.

                 1) Laplace  = [0 -1 0;
                               -1 4 -1;
                                0 -1 0];

                 2) Laplace = [-2 1 -2;
                                1 4 1;
                               -2 1 -2];

                 3) Laplace  =  [-1 -1 -1;
                                 -1 8 -1;
                                 -1 -1 -1];
                 4) LoG equation --> Mexican hat

output parameters include:

I - Edge detected Image.

DESCRIPTION

The laplacian Gauss edge detector or the Mexican hat operator is an edge detector that smoothens the image to mitigate any noise effects and at the same time enhances the edges in an image. This function implements the Laplacian Gauss edge detector by convolving the input image by the Laplaician masks specified by the user. The three laplacian masks described represent various practical approximations and these masks are rotationally symmetric,or isotropic which means edges at all orientations contribute to the result.

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');

% Standard deviation

 std = 1;

% Method

 method = 4;

% Calling function

 [ I ] = laplacian_gauss_ed_cvip( input_image, std , method);

% Display input image

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

% Display output image

 figure; imshow(hist_stretch_cvip(I,0,1,0,0),[]);title('Output image');

LAPLACIAN_GAUSS_ED_CVIP

Contents

SYNTAX

DESCRIPTION

REFERENCE

EXAMPLE

CREDITS