SND_NORM_CVIP
snd_norm_cvip() - applies standard normal density normalization to a set of feature vectors in a matrix.
Contents
SYNTAX
a = snd_norm_cvip(vector)
Input Parameters include:
- vector - An m by n numerical matrix where m is the number of vectors and n is the length of each row vector.
Output parameter include:
- a - A matrix with the same size as the input 'vector' . where each column(feature vector) is normalized by SND method.
DESCRIPTION
This function normalizes a feature vector based on the standard normal density normalization method. The function calculates the standard deviation of the each feature vector and normalizes it.
REFERENCE
1. Scott E Umbaugh. DIGITAL IMAGE PROCESSING AND ANALYSIS: Applications with MATLAB and CVIPtools, 3rd Edition.
EXAMPLE
% Input vectors vectors = [1 3 6]; % Calling function a = snd_norm_cvip(vectors)
a = -0.9272 -0.1325 1.0596
CREDITS
Author: Norsang Lama, March 2017
Copyright © 2017-2018 Scott
E Umbaugh
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