| 1 | function [A, vA, vB, bb_rel] = crop_borders(A, bcol, padding, crop_amounts)
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| 2 | %CROP_BORDERS Crop the borders of an image or stack of images
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| 3 | %
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| 4 | % [B, vA, vB, bb_rel] = crop_borders(A, bcol, [padding])
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| 5 | %
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| 6 | %IN:
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| 7 | % A - HxWxCxN stack of images.
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| 8 | % bcol - Cx1 background colour vector.
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| 9 | % padding - scalar indicating how much padding to have in relation to
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| 10 | % the cropped-image-size (0<=padding<=1). Default: 0
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| 11 | % crop_amounts - 4-element vector of crop amounts: [top,right,bottom,left]
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| 12 | % where NaN/Inf indicate auto-cropping, 0 means no cropping,
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| 13 | % and any other value mean cropping in pixel amounts.
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| 14 | %
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| 15 | %OUT:
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| 16 | % B - JxKxCxN cropped stack of images.
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| 17 | % vA - coordinates in A that contain the cropped image
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| 18 | % vB - coordinates in B where the cropped version of A is placed
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| 19 | % bb_rel - relative bounding box (used for eps-cropping)
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| 20 |
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| 21 | %{
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| 22 | % 06/03/15: Improved image cropping thanks to Oscar Hartogensis
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| 23 | % 08/06/15: Fixed issue #76: case of transparent figure bgcolor
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| 24 | % 21/02/16: Enabled specifying non-automated crop amounts
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| 25 | % 04/04/16: Fix per Luiz Carvalho for old Matlab releases
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| 26 | % 23/10/16: Fixed issue #175: there used to be a 1px minimal padding in case of crop, now removed
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| 27 | %}
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| 28 |
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| 29 | if nargin < 3
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| 30 | padding = 0;
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| 31 | end
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| 32 | if nargin < 4
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| 33 | crop_amounts = nan(1,4); % =auto-cropping
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| 34 | end
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| 35 | crop_amounts(end+1:4) = NaN; % fill missing values with NaN
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| 36 |
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| 37 | [h, w, c, n] = size(A);
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| 38 | if isempty(bcol) % case of transparent bgcolor
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| 39 | bcol = A(ceil(end/2),1,:,1);
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| 40 | end
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| 41 | if isscalar(bcol)
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| 42 | bcol = bcol(ones(c, 1));
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| 43 | end
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| 44 |
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| 45 | % Crop margin from left
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| 46 | if ~isfinite(crop_amounts(4))
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| 47 | bail = false;
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| 48 | for l = 1:w
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| 49 | for a = 1:c
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| 50 | if ~all(col(A(:,l,a,:)) == bcol(a))
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| 51 | bail = true;
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| 52 | break;
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| 53 | end
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| 54 | end
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| 55 | if bail
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| 56 | break;
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| 57 | end
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| 58 | end
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| 59 | else
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| 60 | l = 1 + abs(crop_amounts(4));
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| 61 | end
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| 62 |
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| 63 | % Crop margin from right
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| 64 | if ~isfinite(crop_amounts(2))
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| 65 | bcol = A(ceil(end/2),w,:,1);
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| 66 | bail = false;
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| 67 | for r = w:-1:l
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| 68 | for a = 1:c
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| 69 | if ~all(col(A(:,r,a,:)) == bcol(a))
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| 70 | bail = true;
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| 71 | break;
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| 72 | end
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| 73 | end
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| 74 | if bail
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| 75 | break;
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| 76 | end
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| 77 | end
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| 78 | else
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| 79 | r = w - abs(crop_amounts(2));
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| 80 | end
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| 81 |
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| 82 | % Crop margin from top
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| 83 | if ~isfinite(crop_amounts(1))
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| 84 | bcol = A(1,ceil(end/2),:,1);
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| 85 | bail = false;
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| 86 | for t = 1:h
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| 87 | for a = 1:c
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| 88 | if ~all(col(A(t,:,a,:)) == bcol(a))
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| 89 | bail = true;
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| 90 | break;
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| 91 | end
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| 92 | end
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| 93 | if bail
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| 94 | break;
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| 95 | end
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| 96 | end
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| 97 | else
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| 98 | t = 1 + abs(crop_amounts(1));
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| 99 | end
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| 100 |
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| 101 | % Crop margin from bottom
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| 102 | bcol = A(h,ceil(end/2),:,1);
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| 103 | if ~isfinite(crop_amounts(3))
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| 104 | bail = false;
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| 105 | for b = h:-1:t
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| 106 | for a = 1:c
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| 107 | if ~all(col(A(b,:,a,:)) == bcol(a))
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| 108 | bail = true;
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| 109 | break;
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| 110 | end
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| 111 | end
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| 112 | if bail
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| 113 | break;
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| 114 | end
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| 115 | end
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| 116 | else
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| 117 | b = h - abs(crop_amounts(3));
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| 118 | end
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| 119 |
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| 120 | if padding == 0 % no padding
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| 121 | % Issue #175: there used to be a 1px minimal padding in case of crop, now removed
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| 122 | %{
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| 123 | if ~isequal([t b l r], [1 h 1 w]) % Check if we're actually croppping
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| 124 | padding = 1; % Leave one boundary pixel to avoid bleeding on resize
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| 125 | bcol(:) = nan; % make the 1px padding transparent
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| 126 | end
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| 127 | %}
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| 128 | elseif abs(padding) < 1 % pad value is a relative fraction of image size
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| 129 | padding = sign(padding)*round(mean([b-t r-l])*abs(padding)); % ADJUST PADDING
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| 130 | else % pad value is in units of 1/72" points
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| 131 | padding = round(padding); % fix cases of non-integer pad value
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| 132 | end
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| 133 |
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| 134 | if padding > 0 % extra padding
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| 135 | % Create an empty image, containing the background color, that has the
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| 136 | % cropped image size plus the padded border
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| 137 | B = repmat(bcol,[(b-t)+1+padding*2,(r-l)+1+padding*2,1,n]); % Fix per Luiz Carvalho
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| 138 | % vA - coordinates in A that contain the cropped image
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| 139 | vA = [t b l r];
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| 140 | % vB - coordinates in B where the cropped version of A will be placed
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| 141 | vB = [padding+1, (b-t)+1+padding, padding+1, (r-l)+1+padding];
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| 142 | % Place the original image in the empty image
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| 143 | B(vB(1):vB(2), vB(3):vB(4), :, :) = A(vA(1):vA(2), vA(3):vA(4), :, :);
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| 144 | A = B;
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| 145 | else % extra cropping
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| 146 | vA = [t-padding b+padding l-padding r+padding];
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| 147 | A = A(vA(1):vA(2), vA(3):vA(4), :, :);
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| 148 | vB = [NaN NaN NaN NaN];
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| 149 | end
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| 150 |
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| 151 | % For EPS cropping, determine the relative BoundingBox - bb_rel
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| 152 | bb_rel = [l-1 h-b-1 r+1 h-t+1]./[w h w h];
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| 153 | end
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| 154 |
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| 155 | function A = col(A)
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| 156 | A = A(:);
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| 157 | end
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