**VECTOR_INNER_PRODUCT_CVIP**

**vector_inner_product_cvip()** - calculates the normalized vector inner product similarity metric between two feature vectors

## Contents

## SYNTAX

d = vector_inner_product_cvip( vector1, vector2)

Input Parameters include :

- vector1 - Feature vector 1. A numeric array of n elements.
- vector2 - Feature vector 2. A numeric array of n elements.

Output Parameter include :

- d - The normalized vector inner product similarity metric between vector1 and vector2

## DESCRIPTION

This function calculates the normalized vector inner product between the two input feature vector. The vector inner product is a similarity measure used to assess the amount of similarity between two feature vectors.

The vector inner product is defined for vectors x and y as:

## REFERENCE

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

## EXAMPLE

% Input vectors vector1 = [1 3 4 2]; vector2 = [-3 3.2 sqrt(2) pi]; % calling function d = vector_inner_product_cvip( vector1, vector2)

d = 0.6069

## CREDITS

Author: Mehrdad Alvandipour, March 2017

Copyright © 2017-2018 Scott
E Umbaugh

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