how to find the euclidean distance between two Learn more about euclidian distance, between two images, comparison. how to find the euclidean distance between two images. Asked by hp. hp (view profile and corr2 functions. mean2 and std2 compute the mean and standard deviation of the You should check to see if any non-finite values ( see isfinite) are present in mu, sigma, P, or just Z. Since you are treating K as a vector, you could use std instead of std2 as well. ^2 + 2*rho*std1*std2*(x1- m1)*(x2-m2) var1^2* (x2-m2)^2]/(2*var1*var2*(1-rho^2)]} Where X1= First data segment X2= second data segment Std1= standard deviation of data1 Std2= standard deviation of data2 Var1=variance of data1 Var2= variance of data2 M1=mean of data1 M2=mean of data2 Rho = Covariance normalized by var1 and var2 The Matlab code I need to generate in matlab complex Gaussian noise signals with zero mean and different typical values of variance. 0 Comments. I am not sure about the std1 vs std2 but, it should be cgnoise(ii) in the loop so that it obtains a value for each ii. Discover what MATLAB The$Matlab$Club;$City$Graduate$School$ $ Tutorial$2$ $ ConstantinoCarlos$Reyes9Aldasoro$ $ Tutorial 2: Image Basics If we consider an image as a two-dimensional I want to thank old-ufo for nudging me in the correct direction. I was hoping I won't have to reinvent the wheel by doing a quick matlab-->openCV conversion but guess this is the best solution I have for a quick solution. Indexing Error's line 65. Learn more about index error, while loop, if statement, syntax, debug4me Apply mean and standard deviation of an image to Learn more about mean of an image, standard deviation of an image std2 as Guillaume uses works correctly or as I usually do more generically, just. std( tmpimg(:) ) Discover what MATLAB A "mask" is binary in Matlab. It is the mask only! If you want to get the pixel values inside the mask, you either multiply the mask with the image matrix (size remians the s