PRATT_MERIT_CVIP

pratt_merit_cvip() - calculates figure of merit.

SYNTAX
DESCRIPTION
REFERENCE
EXAMPLE
CREDITS

SYNTAX

[ FOM ] = pratt_merit_cvip( Ideal_img, I2, scale_factor )

Input parameters include :

Ideal_img - The ideal edge map obtained by one of the well known methods.

I2 - Another edge map of the same image.

scale_factor - The scale factor \alpha in the formula of Pratt FOM.

Output parameter include :

FOM - The Pratt's Figure of Merit. A number in the range [0,1] where 1 shows a perfect edge.

DESCRIPTION

This function calculates the Pratt figure of Merit of an image. The function compares the input image I2 to an ideal image and calculates the FOM based on a distance measure between the images. Pratt's Figure of Merit is used to asses the performance of the different types of edge detectors. It correlates with the three important edge detection criteria: Detection, Localization, and Single Response.

REFERENCE

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

EXAMPLE

% Read images

 input_img = imread('Shapes.bmp');

% Obtain edges using 2 different method, here Frei-Chen and Roberts

 [ Frei, ~ ] = frei_chen_ed_cvip( input_img, 1 );

 Type = 2;

 Roberts = roberts_ed_cvip(input_img, Type);

% threshold the edge maps

  Roberts = Roberts>0;

  Frei = Frei > 0;

  scale_factor = 1/9;

% Calling function

  [ FOM ] = pratt_merit_cvip( Roberts, Frei, scale_factor )

FOM =

    0.9406

PRATT_MERIT_CVIP

Contents

SYNTAX

DESCRIPTION

REFERENCE

EXAMPLE

CREDITS