diff options
author | shamikam | 2017-01-16 02:56:17 +0530 |
---|---|---|
committer | shamikam | 2017-01-16 02:56:17 +0530 |
commit | a6df67e8bcd5159cde27556f4f6a315f8dc2215f (patch) | |
tree | e806e966b06a53388fb300d89534354b222c2cad /macros/cvMedian.sci | |
download | FOSSEE_Image_Processing_Toolbox-a6df67e8bcd5159cde27556f4f6a315f8dc2215f.tar.gz FOSSEE_Image_Processing_Toolbox-a6df67e8bcd5159cde27556f4f6a315f8dc2215f.tar.bz2 FOSSEE_Image_Processing_Toolbox-a6df67e8bcd5159cde27556f4f6a315f8dc2215f.zip |
Diffstat (limited to 'macros/cvMedian.sci')
-rw-r--r-- | macros/cvMedian.sci | 119 |
1 files changed, 119 insertions, 0 deletions
diff --git a/macros/cvMedian.sci b/macros/cvMedian.sci new file mode 100644 index 0000000..a403984 --- /dev/null +++ b/macros/cvMedian.sci @@ -0,0 +1,119 @@ +//************************************************** +// Author : Asmita Bhar +//************************************************** + +function [out] = cvMedian(image,varargin) +// Finds median values in an input +// +// Calling Sequence +// val = cvMedian(image) +// val = cvMedian(image, name, value, .....) +// +// Parameters +// image : Input image matrix +// SortMethod (Optional) : The sort method to calculate the median - Quick sort or Insertion Sort. Default : Quick sort +// Dimension (Optional) : Dimension along which the function operates - Row, Column, All or Custom. Default : All +// CustomDimension (Optional) : The integer dimension over which the function calculates the median. This value cannot exceed the number of dimensions in input. It applies only when 'Dimension' property is set to 'Custom'. Default : 1 +// +// Description +// The function calculates the median values in a given input image matrix. +// +// Examples +// //Load an image +// I = imread('peppers.png'); +// val1 = cvMedian(I); // calculates the median value considering dimension as 'All' +// val2 = cvMedian(I,'Dimension','Row'); //calculates the median value in 'Row' dimension +// +// Authors +// Asmita Bhar +// + + [lhs,rhs] = argn(0); + if rhs<1 then + error(msprintf("Not enough input arguments")); + end + if rhs>7 then + error(msprintf("Too many input arguments")); + end + + [iRows iCols]=size(image(1)) + iChannels = size(image) + + sortMethod = 'Quick sort'; + dimension = 'All'; + customDimension = 1; + + flag=0; + i=1; + while(i<rhs-1) + if strcmpi(varargin(i),'SortMethod')==0 then + sortMethod = varargin(i+1); + if strcmpi(sortMethod,"Quick sort") & strcmpi(sortMethod,"Insertion sort") then + error(msprintf(" wrong input argument #%d,SortMethod not matched",i)) + end + 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 + elseif strcmpi(varargin(i),'CustomDimension')==0 then + customDimension = varargin(i+1) + flag=1; + end + i=i+2; + end + + if (strcmpi(dimension,'Custom') & (flag==1)) + error(msprintf("The CustomDimension property is not relevant in this configuration")); + end + + if(iChannels==1) then + if(dimension=='All') then + out = median(image(1)); + elseif(dimension=='Row') then + out = median(image(1),'c'); + elseif(dimension=='Column') then + out = median(image(1),'r'); + elseif(dimension=='Custom') then + if(customDimension==1) then + out = median(image(1),'r'); + elseif(customDimension==2) then + out = median(image(1),'c'); + end + end + elseif(iChannels==3) + if(dimension=='All') then + out = median([image(1) image(2) image(3)]); + elseif(dimension=='Row') then + out(:,:,1) = median(image(1),'c'); + out(:,:,2) = median(image(2),'c'); + out(:,:,3) = median(image(3),'c'); + elseif(dimension=='Column') then + out(:,:,1) = median(image(1),'r'); + out(:,:,2) = median(image(2),'r'); + out(:,:,3) = median(image(3),'r'); + elseif(dimension=='Custom') then + if(customDimension==1) then + out(:,:,1) = median(image(1),'r'); + out(:,:,2) = median(image(2),'r'); + out(:,:,3) = median(image(3),'r'); + elseif(customDimension==2) then + out(:,:,1) = median(image(1),'c'); + out(:,:,2) = median(image(2),'c'); + out(:,:,3) = median(image(3),'c'); + elseif(customDimension==3) then + a = median(image(1),3); + b = median(image(2),3); + c = median(image(3),3); + for i=1:iRows + for j=1:iCols + out(i,j) = median([a(i,j) b(i,j) c(i,j)]); + end + + end + end + end + end + +endfunction + |