RGB Color moment extraction algorithm--matlab

First, the color moment formula

First-order color moment-mean value, reflecting the intensity of the image

Second-order color moment-standard deviation, reflecting image color distribution range

Third-order color moment-variance, reflecting the symmetry of image color distribution

Second, method one:

Firstmoment = mean (mean (tmpimage)); % first-order color moment

difference = Tmpimage (:,:, M)-firstmoment (1,1,M); % Differential Color moment

Secondmoment = sqrt (mean (mean (difference.*difference))); % second-order color moment

Thirdmoment = Nthroot (mean (mean (difference.*difference.*difference)), 3); % third-order color moment

To interpret

tmpimage–>101 (rows) *101 (columns) (layers) Matrix

First seek mean (mean (tmpimage)): 1*101*3

% mean mean function, precedence for column averaging

firstmoment–> second seek mean: 1*1*3

Difference–> 101*101*1

% point multiplication (matrix multiplication):[3*3*1].*[3*3*1]–> [3*3*1]

Difference.*difference–> 101*101*1

% two times the mean is because a matrix that requires a two-dimensional matrix

Secondmoment–> principle Ibid.

Thirdmoment–> principle Ibid.

Third, method two

Firstmoment = mean (mean (tmpimage)); % first-order color moment

difference = Tmpimage (:,:, M)-firstmoment (1,1,M); % Differential Color moment

secondmoment = sqrt (sum (difference (:). *difference (:))/101/101));% second-order color moment

thirdmoment = Nthroot (sum (Difference (:). *difference (:). *difference (:))/101*101,3);% third-order color moment

To interpret

Difference (:) –>10201*1 (Columns) * * (layer)

% converts its matrix to N*1 's column matrix

Difference (:). *difference (:) –> 10201*1*1

SUM ((Difference (:). *difference (:))/101/101)) –> 1 (sum value) *1*1

Sum value/101/101–> mean value

RGB Color moment extraction algorithm--matlab