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diff --git a/macros/cvMinimum.sci b/macros/cvMinimum.sci new file mode 100644 index 0000000..e29a263 --- /dev/null +++ b/macros/cvMinimum.sci @@ -0,0 +1,311 @@ +//*********************************************************************// +// 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 + |