77 lines
3.2 KiB
Matlab
77 lines
3.2 KiB
Matlab
function [ SimilarityMatrix ] = similarity_neighbor_grid_further( x, side, types, dist)
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%SIMILARITYNEIGHBOR Summary of this function goes here
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% Detailed explanation goes here
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% this assumes that the patch is laid out with first column, then second
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% column, ... final column (column major)
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% dist = 2;
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SimilarityMatrix = eye(side*side);
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% types - 1 - horizontal, 2 - vertical, 3 - diagonal (bl-tr), 4 -
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% diagonal (br - tl)
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for t=1:numel(types)
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if(types(t) == 1)
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% for horizontal we want to link both neighbours
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% (which are offset from the points by height)
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i = 1:(side*side-side*dist);
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% create the neighboring links for i
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SimilarityMatrix(sub2ind([side^2, side^2], i, i+side*dist)) = 1;
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SimilarityMatrix(sub2ind([side^2, side^2], i+side*dist, i)) = 1;
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% visualise
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% vis = zeros(height, width)
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% [i, j] = ind2sub([sz, sz], find(SimilarityMatrix(:)==1));
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% i_2 = mod(i-1, width)+1;
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% j_2 = floor((j-1)/height)+1;
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% vis(sub2ind([width, height], i_2, j_2) = 1;
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% imagesc(vis);
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end
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if(types(t) == 2)
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% for vertical we want to link both neighbours except at edge
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% cases which are mod(y_loc,side) = 0 as they are at the edges
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i = 1:side*side;
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i_to_rem =[];
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for s=1:dist
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i_to_rem = union(i_to_rem, i(mod(i+s-1, side) == 0));
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end
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i_both = setdiff(i, i_to_rem);
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% create the neighboring links for i
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SimilarityMatrix(sub2ind([side^2, side^2], i_both+dist, i_both)) = 1;
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SimilarityMatrix(sub2ind([side^2, side^2], i_both, i_both+dist)) = 1;
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end
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if(types(t) == 3)
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% for diagonal to top right, and bottom left don't use right most column
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i = 1:(side^2)-dist * side;
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i_to_rem = [];
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for s=1:dist
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i_to_rem = union(i_to_rem,i(mod(i-s, side) == 0));
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end
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i_both = setdiff(i, i_to_rem);
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% create the neighboring links for i
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SimilarityMatrix(sub2ind([side^2, side^2], i_both+dist*side-dist, i_both)) = 1;
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SimilarityMatrix(sub2ind([side^2, side^2], i_both, i_both+dist*side-dist)) = 1;
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end
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if(types(t) == 4)
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% for diagonal to top left, and bottom right don't use right most column
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i = 1:(side^2)-dist*side;
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i_to_rem = [];
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for s=1:dist
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i_to_rem = union(i_to_rem, i(mod(i+s-1, side) == 0));
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end
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i_both = setdiff(i, i_to_rem);
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% create the neighboring links for i
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SimilarityMatrix(sub2ind([side^2, side^2], i_both+dist*side+dist, i_both)) = 1;
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SimilarityMatrix(sub2ind([side^2, side^2], i_both, i_both+dist*side+ dist)) = 1;
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end
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end
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assert(isequal(SimilarityMatrix, SimilarityMatrix'));
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end |