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The Seven Invariant Moments


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The Seven Invariant Moments



Calculates the Seven Invariant Moments in terms of centralized Moments

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Two function files that can be applied on an image to calculate the seven invariant moments defined by Hu(1962)in terms of centralized Moments for purpose of shape recognition . The function to be used directly by the user is
feature_vec(A),where A is a 2D matrix representing an image.
Inside this function another function :cent_moment(p,q,A)is called to calculate the normalized central moments
You can use it in separate.But you don't need to do so when using feature_vec(A)
Attached with the two functions is a pdf file containing short mathematical notes about the theory of Invariant Moments.

Required Products MATLAB
MATLAB release MATLAB 7.8 (R2009a)
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Comments and Ratings (13)
06 Nov 2014 Adam Drake

Caution: This file kills my Matlab. It has serious optimisation issues.

30 Jun 2014 andrey

I have the same problem as Try_me34, moments are always zero.
Also the inefficiency of this algorithm makes it practically unusable (I suspect it has a NN or larger order-of-growth).

20 Feb 2014 Jess  
14 Dec 2013 Try_me34

Hi, the M always returns zeros ( M1=0 M2=0 .. M7=0).
Am I missing something here?

05 Dec 2013 Henryk Richter

Thanks for the contribution, the code is quite readable and nicely done.

After tinkering with images, that have been rotated/scaled/translated, I noted some discrepancies between theoretically identical results and your script's output. The following lines in fecture_vec.m need to be corrected to:


M7=(3*n21-n03)*(n30+n12)*[(n30+n12)^2-3*(n21+n03)^2]+(3*n12-n30)*(n03+n21)*[ 3*(n30+n12)^2-(n21+n03)^2 ];

I got the formulas from "Digital Image Processing" by Gonzalez/Woods (and they work just fine) but didn't verify with Hu's paper.

02 Oct 2013 wahyu

very good

18 Oct 2012 Elvis Condori

Muy buena contribuciĆ³n.

13 Aug 2012 Long  
19 Jun 2012 Omid  
12 Mar 2012 Ishrat Badami  
12 Mar 2012 Ishrat Badami  
10 Mar 2012 Ishrat Badami

Lot of redundant calculations. Also instead of using lot of for loops you can try efficient matrix multiplication.

08 Feb 2012 shobhit

ans this pls

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