PCT_CVIP

pct_cvip() - performs the pricipal component transform in RGB space.

Contents

SYNTAX

[outputImage,EigenVector,EigenValues] = pct_cvip(inputImage);

Input parameters include:

Output parameters include:

Note: Mandatory output arguments: outputImage and EigenVector
       Optional output arguments: EigenValues

DESCRIPTION

This function converts the input image from the RGB color space into the Principal Component Transform color space. The Principal Components Transform decorrelates the RGB data by finding a linear transform to align the coordinates axes along the path of maximal variance of the data. The decorrelated data is put into the principal component band i.e., band 1.

To view the 8-bit image of type double, divide by 255. To view the 16-bit image of type double, divide by 65535.

REFERENCE

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

EXAMPLE

% Read image

  X = imread('Car.bmp');

% Call function

 [S1, E, e] = pct_cvip(X);

% Display input image

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

% Display output images

 figure;imshow(remap_cvip(S1),[]);title('Output image after pct');

CREDITS

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

Published with MATLAB® R2014b