Opencv-the block distance from L1 to L2 is originally here! CvNorm ()

 

It takes N long to calculate the distance. Oreilly's <Learning OpenCV> is still king.

 

# Include "stdafx. h "<br/> # include <cv. h> <br/> # include <pighgui. h> </p> <p> float Array1 [] = {1,-}; <br/> float Array2 [] = {, 2 }; <br/> // uchar MaskArray [] = {1, 1, 0}; </p> <p> int main () <br/>{ <br/> CvMat * Mat1 = cvCreateMat (1, 3, CV_32FC1); <br/> CvMat * Mat2 = cvCreateMat (1, 3, CV_32FC1 ); <br/> cvSetData (Mat1, Array1, Mat1-> step); <br/> cvSetData (Mat2, Array2, Mat2-> step ); </p> <p> printf ("1-norm is: %. 1f/n ", cvNorm (Mat2, Mat1, CV_L1); <br/> // printf (" 1-norm + mask is: %. 1f/n ", cvNorm (Mat2, NULL, CV_L1, Mat1); <br/> printf (" 2-norm is: %. 3e/n ", cvNorm (Mat2, Mat1, CV_L2); <br/> // printf (" 2-norm + mask is: %. 3e/n ", cvNorm (Mat2, NULL, CV_L2, Mat1); <br/> printf (" Infininte norm is: %. 1f/n ", cvNorm (Mat2, Mat1, CV_C); <br/> // printf (" Infininte norm + mask is: %. 1f/n ", cvNorm (Mat2, NULL, CV_C, Mat1); </p> <p> printf (" Relative 1-norm distance is: %. 1f/n ", cvNorm (Mat2, Mat1, CV_RELATIVE_L1, 0); <br/> printf (" Relative 2-norm distance is: %. 3f/n ", cvNorm (Mat1, Mat2, CV_RELATIVE_L2); <br/> printf (" Relative infininte norm distance is: %. 1f/n ", cvNorm (Mat1, Mat2, CV_RELATIVE_C); </p> <p> system (" pause "); <br/> cvReleaseMat (& Mat1 ); <br/> cvReleaseMat (& Mat2); <br/>}< br/>