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+//*********************************************************************//
+// Author : Asmita Bhar, Kevin George
+//*********************************************************************//
+
+function [val] = cvStandardDeviation(image, varargin)
+// Finds standard deviation values in an input
+//
+// Calling Sequence
+// val = cvStandardDeviation(image);
+// val = cvStandardDeviation(image, name, value,...);
+// val = cvStandardDeviation(image, name, value,c,r); (only when ROI Processing is true)
+//
+// Parameters
+// image : Input image matrix
+// Dimension (Output) : Dimension along which the function operates - Row, Column, All or Custom. Default : All
+// CustomDimension (Optional) : The integer dimension over which the function calculates the minimum. This value cannot exceed the number of dimensions in input. It applies only when 'Dimension' property is set to 'Custom'. Default : 1
+// ROIProcessing (Optional) : It applies only when 'Dimension' property is set to 'All'. It calculates the standard deviation within a particular region of the image. Default : false
+// c (Optional): vector of y-coordinates of vectices of a rectangle(ROI). Applicable only when 'ROIProcssing' is set to 'true'.
+// r (Optional): vector of x-coordinates of vectices of a rectangle(ROI). Applicable only when 'ROIProcssing' is set to 'true'.
+// val : Stores the standard deviation value calculated
+//
+// Description
+// The function calculates the standard deviation value in a given image matrix.
+//
+// Examples
+// //Load an image
+// I = imread('peppers.png');
+// //Calculate the standard deviation (default dimension is 'All')
+// val = cvStandardDeviation(I);
+// //Calculate the standard deviation when dimension is 'Row'
+// val = cvStandardDeviation(I,'Dimension','Row');
+// //Calculate the standard deviation within a given ROI
+// a = [0 100 100 0];
+// b = [0 0 100 100];
+// val = cvStandardDeviation(I,'ROIProcessing','true',a,b);
+//
+// Authors
+// Asmita Bhar
+// Kevin George
+//
+ [lhs,rhs] = argn(0);
+ if rhs<1 then
+ error(msprintf("Not enough input arguments"));
+ end
+ if rhs>9 then
+ error(msprintf("Too many input arguments"));
+ end
+ [iRows iCols]=size(image(1))
+ iChannels = size(image)
+
+ dimension = 'All';
+ customDimension = 1;
+ roiProcessing = 'false';
+
+ flag1=0;
+ i=1;
+ while(i<rhs-1)
+ if strcmpi(varargin(i),'Dimension')==0 then
+ dimension = varargin(i+1)
+ if strcmpi(dimension,"Column") & strcmpi(dimension,"Row") &strcmpi(dimension,"All") & strcmpi(dimension,"Custom") then
+ error(msprintf(" wrong input argument #%d, Dimension not matched",i))
+ end
+ i=i+2;
+ elseif strcmpi(varargin(i),'CustomDimension')==0 then
+ customDimension = varargin(i+1)
+ flag1=1;
+ i=i+2;
+ elseif strcmpi(varargin(i), 'ROIProcessing')==0 then
+ roiProcessing = varargin(i+1)
+ if(roiProcessing=='true') then
+ c = varargin(i+2);
+ r = varargin(i+3);
+ i=i+4;
+ else
+ i=i+2;
+ end
+ end
+
+ end
+
+ if (strcmpi(dimension,'Custom') & (flag1==1))
+ error(msprintf("The CustomDimension property is not relevant in this configuration"));
+ end
+
+ if (strcmpi(dimension,"All") & strcmpi(roiProcessing,'true'))
+ error(msprintf("ROI Property is not relevant in this configuration"));
+ end
+
+ if(customDimension<1)
+ error(msprintf("CustomDimension must be greater than or equal to 1"));
+ end
+
+ if(iChannels==1) then
+ if(customDimension>2)
+ error(msprintf("CustomDimension cannot be greater than the dimension of the input."));
+ end
+ elseif(iChannels==3) then
+ if(customDimension>3)
+ error(msprintf("CustomDimension cannot be greater than the dimension of the input."));
+ end
+ end
+
+ if(iChannels==1)
+ I = double(image(1));
+ elseif(iChannels==3)
+ I1 = double(image(1));
+ I2 = double(image(2));
+ I3 = double(image(3));
+ end
+
+ if(roiProcessing=='false') then
+ if (dimension=='All') then
+ if(iChannels==1) then
+ val = stdev(I)
+ elseif (iChannels==3) then
+ val1 = stdev(I1)
+ val2 = stdev(I2)
+ val3 = stdev(I3)
+ val = stdev([val1 val2 val3])
+ end
+ end
+ if (dimension=='Row') then
+ if(iChannels==1) then
+ val = stdev(I,'c');
+ elseif(iChannels==3) then
+ val1 = stdev(I1,'c');
+ val2 = stdev(I2,'c');
+ val3 = stdev(I3,'c');
+ val(:,:,1) = val1;
+ val(:,:,2) = val2;
+ val(:,:,3) = val3;
+ end
+ end
+ if (dimension=='Column') then
+ if(iChannels==1) then
+ val = stdev(I,'r');
+ elseif(iChannels==3) then
+ val1 = stdev(I1,'r');
+ val2 = stdev(I2,'r');
+ val3 = stdev(I3,'r');
+ val(:,:,1) = val1;
+ val(:,:,2) = val2;
+ val(:,:,3) = val3;
+ end
+ end
+ if (dimension=='Custom') then
+ if(iChannels==1) then
+ if(customDimension==1) then
+ val = stdev(I,'r');
+ elseif(customDimension==2) then
+ val = stdev(I,'c');
+ end
+ elseif(iChannels==3) then
+ if(customDimension==1) then
+ val1 = stdev(I1,'r');
+ val2 = stdev(I2,'r');
+ val3 = stdev(I3,'r');
+ val(:,:,1) = val1;
+ val(:,:,2) = val2;
+ val(:,:,3) = val3;
+ elseif(customDimension==2) then
+ val1 = stdev(I1,'c');
+ val2 = stdev(I2,'c');
+ val3 = stdev(I3,'c');
+ val(:,:,1) = val1;
+ val(:,:,2) = val2;
+ val(:,:,3) = val3;
+ elseif(customDimension==3) then
+ for i=1:iRows
+ for j=1:iCols
+ val(i,j)= stdev([I1(i,j) I2(i,j) I3(i,j)]);
+ end
+
+ end
+ end
+ end
+ end
+ end
+ if(roiProcessing=='true') then
+ I4 = roipoly(image,c,r);
+ out = I4;
+ output = find(out>0);
+ [rows cols] = size(out);
+ if(iChannels==1)
+ ROI = zeros(iRows,iCols);
+ for i=1:cols
+ ROI(output(i)) = I(output(i));
+ end
+ elseif(iChannels==3)
+ ROI1 = zeros(iRows,iCols);
+ ROI2 = zeros(iRows,iCols);
+ ROI3 = zeros(iRows,iCols);
+ for i=1:cols
+ ROI1(output(i)) = I1(output(i));
+ ROI2(output(i)) = I2(output(i));
+ ROI3(output(i)) = I3(output(i));
+ end
+ ROI = list(ROI1,ROI2,ROI3);
+ end
+ if (dimension=='All') then
+ if(iChannels==1) then
+ a=ROI;
+ val = stdev(a(find(a>0)));
+ elseif (iChannels==3) then
+ a=ROI(1);
+ b=ROI(2);
+ c=ROI(3);
+ val1 = stdev(a(find(a>0)));
+ val2 = stdev(b(find(b>0)));
+ val3 = stdev(c(find(c>0)));
+ val = stdev([val1 val2 val3]);
+ end
+ end
+ end
+
+endfunction
+