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//*********************************************************************//
// Author : Asmita Bhar, Kevin George
//*********************************************************************//
function varargout = cvMinimum(image, varargin)
// Finds minimum values in an input
//
// Calling Sequence
// [val ind] = cvMinimum(image);
// val = cvMinimum(image); (only when IndexOutputPort is false)
// ind = cvMinimum(image); (only when ValueOutputPort is false)
// [val ind] = cvMinimum(image, name, value,...);
// val = cvMinimum(image, name, value, ...); (only when IndexOutputPort is false)
// ind = cvMinimum(image, name, value, ...); (only when ValueOutputPort is false)
// [val ind] = cvMinimum(image, name, value,c,r); (only when ROI Processing is true)
// val = cvMinimum(image, name, value,c,r); (only when ROI Processing is true and IndexOutputPort is false)
// ind = cvMinimum(image, name, value,c,r); (only when ROI Processing is true and ValueOutputPort is false)
//
// Parameters
// image : Input image matrix
// ValueOutputPort (Optional) : This property is set to true to output the minimum value. Default : true.
// IndexOutputPort (Optional) : This property is set to true to output the index of the minimum value. Default : true.
// 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 minimum 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 maximum value calculated
// ind : Stores the index at which the minimum value occurs.
//
// Description
// The function calculates the minimum value in a given image matrix.
//
// Examples
// //Load an image
// I = imread('peppers.png');
// //Calculate the minimum (default dimension is 'All')
// [val ind] = cvMinimum(I);
// //Calculate the minimum when dimension is 'Row' and IndexOutputPort is set to false
// val = cvMinimum(I,'ValueOutputPort','false','Dimension','Row');
// //Calculate the minimum within a given ROI
// a = [0 100 100 0];
// b = [0 0 100 100];
// [val ind] = cvMinimum(I,'ROIProcessing','true',a,b);
//
// Authors
// Asmita Bhar
// Kevin George
//
[lhs,rhs] = argn(0); //finding the number of input and output arguments
if rhs<1 then
error(msprintf("Not enough input arguments"));
end
if rhs>13 then
error(msprintf("Too many input arguments"));
end
if lhs>2 then
error(msprintf("Too many output arguments"));
end
[iRows iCols]=size(image(1)) // finding the number of rows and columns of the image
iChannels = size(image) //finding the number of channels in the image
// default values
valueOutputPort = 'true';
indexOutputPort = 'true';
dimension = 'All';
customDimension = 1;
roiProcessing = 'false';
flag1=0;
i=1;
// taking the optional argumnets as input
while(i<rhs-1)
if strcmpi(varargin(i),'ValueOutputPort')==0 then
valueOutputPort = varargin(i+1)
if strcmpi(valueOutputPort,"true") & strcmpi(valueOutputPort,"false") then
error(msprintf(" wrong input argument #%d,ValidityOutputPort not matched",i))
end
i=i+2;
elseif strcmpi(varargin(i),'IndexOutputPort')==0 then
indexOutputPort = varargin(i+1)
if strcmpi(indexOutputPort,"true") & strcmpi(indexOutputPort,"false") then
error(msprintf(" wrong input argument #%d, IndexOutputPort not matched",i))
end
i=i+2;
elseif 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
// error display with user input (if any)
if (~strcmpi(valueOutputPort,'false') & ~strcmpi(indexOutputPort,'false'))
error(msprintf("Both cannot be false at the same time"));
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
// calculating minimum for the image if ROI is not mentioned
if(roiProcessing=='false') then
//calculating minimum if dimension is all
if (dimension=='All') then
//calculating minimum for a single channel image
if(iChannels==1) then
[val ind] = min(image(1))
ind(3) = 1;
// calculating minimum for a 3-channel image
elseif (iChannels==3) then
val1 = min(image(1))
val2 = min(image(2))
val3 = min(image(3))
if (val1<=val2) & (val1<=val3) then
[val ind] = min(image(1))
ind(3) = 1
elseif (val2<=val1) & (val2<=val3) then
[val ind] = min(image(2))
ind(3) = 2
else
[val ind] = min(image(3))
ind(3) = 3
end
end
// swapping the indices to match matlab output
t = ind(1)
ind(1) = ind(2)
ind(2) = t
end
// calculating minimum if dimension is Row
if (dimension=='Row') then
//calculating minimum if dimension is all
if(iChannels==1) then
[val ind] = min(image(1),'c');
// calculating minimum for a 3-channel image
elseif(iChannels==3) then
[val1 ind1] = min(image(1),'c');
[val2 ind2] = min(image(2),'c');
[val3 ind3] = min(image(3),'c');
val(:,:,1) = val1;
val(:,:,2) = val2;
val(:,:,3) = val3;
ind(:,:,1) = ind1;
ind(:,:,2) = ind2;
ind(:,:,3) = ind3;
end
end
if (dimension=='Column') then
//calculating minimum if dimension is Column
if(iChannels==1) then
[val ind] = min(image(1),'r');
// calculating minimum for a 3-channel image
elseif(iChannels==3) then
[val1 ind1] = min(image(1),'r');
[val2 ind2] = min(image(2),'r');
[val3 ind3] = min(image(3),'r');
val(:,:,1) = val1;
val(:,:,2) = val2;
val(:,:,3) = val3;
ind(:,:,1) = ind1;
ind(:,:,2) = ind2;
ind(:,:,3) = ind3;
end
end
if (dimension=='Custom') then
//calculating minimum if dimension is Custom
if(iChannels==1) then
//calculating for dimension 1 i.e. Column
if(customDimension==1) then
[val ind] = min(image(1),'r');
//calculating for imension 2 i.e. Row
elseif(customDimension==2) then
[val ind] = min(image(1),'c');
end
// calculating minimum for a 3-channel image
elseif(iChannels==3) then
//calculating for dimension 1 i.e. Column
if(customDimension==1) then
[val1 ind1] = min(image(1),'r');
[val2 ind2] = min(image(2),'r');
[val3 ind3] = min(image(3),'r');
val(:,:,1) = val1;
val(:,:,2) = val2;
val(:,:,3) = val3;
ind(:,:,1) = ind1;
ind(:,:,2) = ind2;
ind(:,:,3) = ind3;
//calculating for dimension 2 i.e. Row
elseif(customDimension==2) then
[val1 ind1] = min(image(1),'c');
[val2 ind2] = min(image(2),'c');
[val3 ind3] = min(image(3),'c');
val(:,:,1) = val1;
val(:,:,2) = val2;
val(:,:,3) = val3;
ind(:,:,1) = ind1;
ind(:,:,2) = ind2;
ind(:,:,3) = ind3;
//calculating for dimension 3 i.e Channel
elseif(customDimension==3) then
a = image(1);
b = image(2);
c = image(3);
for i=1:iRows
for j=1:iCols
val(i,j)= min([a(i,j) b(i,j) c(i,j)]);
if(val(i,j)==a(i,j)) then
ind(i,j)=1;
elseif(val(i,j)==b(i,j)) then
ind(i,j)=2;
else
ind(i,j)=3;
end
end
end
end
end
end
end
//calculating minimum if ROI is mentioned
if(roiProcessing=='true') then
I2 = roipoly(image,c,r);
out = I2;
output = find(out>0);
[rows cols] = size(out);
if(iChannels==1)
ROI = zeros(iRows,iCols);
for i=1:cols
ROI(output(i)) = image(1)(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)) = image(1)(output(i));
ROI2(output(i)) = image(2)(output(i));
ROI3(output(i)) = image(3)(output(i));
end
ROI = list(ROI1,ROI2,ROI3);
end
if (dimension=='All') then
if(iChannels==1) then
a=ROI;
[val ind] = min(a(find(a>0)));
elseif (iChannels==3) then
a=ROI(1);
b=ROI(2);
c=ROI(3);
val1 = min(a(find(a>0)));
val2 = min(b(find(b>0)));
val3 = min(c(find(c>0)));
if (val1<=val2) & (val1<=val3) then
[val ind] = min(a(find(a>0)));
elseif (val2<=val1) & (val2<=val3) then
[val ind] = min(b(find(b>0)));
else
[val ind] = min(c(find(c>0)));
end
end
end
end
// output values according to the user input for valueoutputport and indexoutputport
if (~strcmpi(valueOutputPort,'true') & ~strcmpi(indexOutputPort,'true')) then
varargout = list(val,ind);
elseif (~strcmpi(valueOutputPort,'true') & ~strcmpi(indexOutputPort,'false')) then
varargout = list(val);
elseif (~strcmpi(indexOutputPort,'true') & ~strcmpi(valueOutputPort,'false')) then
varargout = list(ind);
end
endfunction
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