Python image Processing (9): Hu Moment

Happy Shrimp

http://blog.csdn.net/lights_joy/

Welcome reprint, but please keep the author information

The geometric moment is theHuin the1962with translational, rotational, and scale invariance. OpenCVThe calculation of the moment is determined byC + +in theMomentsThis class comes complete with:

//! Raster image Momentsclass Cv_exports_w_map moments{public:    //! The default constructor    Moments ();    //! The full constructor    Moments (double m00, double M10, double m01, double M20, double M11, double m02, double M30,            D Ouble M21, double M12, double m03);    //! The conversion from cvmoments    Moments (const cvmoments& Moments);    //! The conversion to cvmoments    operator cvmoments () const;    //! Spatial Moments    CV_PROP_RW double  m00, M10, M01, M20, M11, M02, M30, M21, M12, M03;    //! Central Moments    CV_PROP_RW double  mu20, Mu11, mu02, Mu30, Mu21, Mu12, mu03;    //! Central normalized moments    CV_PROP_RW double  nu20, Nu11, nu02, Nu30, Nu21, Nu12, nu03;};

It can be seen that it mainly includes the space moment, the center moment and the center normalized moment.

I've never been too sure. Geometric moments can play a role in plant leaf identification, especially for occluded leaves. But just to learn here, try to calculate Hu moments under Python .

The images used are the color images that were split up before:

We've got a two value image of them:

We use these two two-value images as the input image for the moment.

#-*-coding:utf-8-*-import cv2import numpy as Np#import matplotlib.pyplot as Pltdir = ' F:\\projects\\src\\opencv\\imag Es\\cotton\\ '; # Hu invariant Moment # read cotton image cotton = cv2.imread (dir + ' 39.mask.jpg ') cotton = cotton[:,:,0]  # This is a two value image, Take only the first channel cv2.imshow (' Cotton ', cotton) # read weed image weed = cv2.imread (dir + ' 47.mask.jpg ') weed = weed[:,:,0]  # This is a two value image, Take only the first channel cv2.imshow (' Weed ', weed) # Calculate the moment of cotton and hu moment moments = cv2.moments (cotton) hu_moments = Cv2. Humoments (Moments) print (' Cotton moments: ') print (hu_moments) # Calculates the moment of weed and hu moment moments = cv2.moments (weed) hu_moments = Cv2. Humoments (Moments) print (' Weed moments: ') print (hu_moments) Cv2.waitkey ()

The results are calculated as follows:

just two pictures doesn't really explain the problem, just show it by the code above Python Calculation Hu The way of the moment, that's all.

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Python image Processing (9): Hu Moment