/normxcorr/trunk

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  • Committer: Suren A. Chilingaryan
  • Date: 2009-12-12 01:38:41 UTC
  • Revision ID: csa@dside.dyndns.org-20091212013841-feih3qa4i28x75j4
Provide stand-alone library

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automate_image.m
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    normxcorr_hw(hwid, 3, base_points_x, base_points_y);
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    normxcorr_hw(hwid, 4, base);
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    normxcorr_hw(hwid, 5);
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else
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  base_points_for(:,1)=reshape(base_points_x,[],1);
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  base_points_for(:,2)=reshape(base_points_y,[],1);
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    input_correl(:,2)=reshape(input_points_y,[],1);
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end
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input = uint8(mean(double(imread([imagedir, filenamelist((firstimage+1),:)])),3));       % read in the image which has to be correlated
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for i=firstimage:(r-1)               % run through all images
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    tic             % start the timer
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    input = uint8(mean(double(imread([imagedir, filenamelist((i+1),:)])),3));       % read in the image which has to be correlated
 
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%    input = uint8(mean(double(imread([imagedir, filenamelist((i+1),:)])),3));       % read in the image which has to be correlated
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    if OPTIMIZE > 2
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        %Validate findpeak
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        %dic_cpcorr3(CORRSIZE, PRECISION, OPTIMIZE, hwid, ncp, input);
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        normxcorr_hw(hwid, 13, input)
 
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        if i < (r-1)
 
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            input = uint8(mean(double(imread([imagedir, filenamelist((i+2),:)])),3));       % read in the image which has to be correlated
 
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        end
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        input_correl = normxcorr_hw(hwid, 14);
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    elseif OPTIMIZE > 0
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        input_correl(:,:)=dic_cpcorr(CORRSIZE, PRECISION, OPTIMIZE, hwid, data_base, input_correl, input);
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    else
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        input_correl(:,:)=cpcorr(input_correl, base_points_for, input, base);
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    end
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    %We need to copy
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    validx(:,i)=double(input_correl(:,1));                                       % the results we get from cpcorr for the x-direction
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    validy(:,i)=double(input_correl(:,2));                                       % the results we get from cpcorr for the y-direction