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感觉自己图像批量处理有救了。
详见Simulating Photoshop's magic wand tool。
代码：
function bin_mask = magicwand(im, ylist, xlist, tolerance)
% MAGICWAND simulates the Photoshop's magic wand tool
% It allows selection of connected pixels whose colors are
% within a defined tolerance of reference pixels.
%
% SYNTAX
% bin_mask = magicwand(im, ylist, xlist, tolerance);
%
% INPUT
% im: input image RGB
% ylist: vector of row cordinates (reference pixels)
% xlist: vector of column cordinates (reference pixels)
% tolerance: distance to reference pixels
%
% OUTPUT
% bin_mask: binary mask of selected regions
%
% EXAMPLE
% The following code selects the girl's face:
% im = imread('test.jpg');
% bin_mask = magicwand(im, [199 217], [318 371], 50);
% subplot(1, 2, 1); imshow(im);
% subplot(1, 2, 2); imshow(bin_mask);
%
% NOTES
% * Tested with MATLAB R13 & Image Processing Toolbox
% * C++ version by Daniel Lau and Yoram Tal are also available in MATLAB Central
%
% (C) 2004 Son Lam Phung
% Email: [email protected]
% Edith Cowan University
H = size(im, 1); % image height
W = size(im, 2); % image width
% Check arguments
if any(ylist > H)
s = sprintf('Row cordinates greater than the image height (%g).', H);
error(s);
end
if any(xlist > W)
s = sprintf('Column cordinates greater than the image height (%g).', W);
error(s);
end
if ndims(im) ~=3
error('Input image must be in RGB format');
end
c_r = double(im(:, :, 1)); % Red channel
c_g = double(im(:, :, 2)); % Green channel
c_b = double(im(:, :, 3)); % Blue channel
N = length(ylist); % Number of reference pixels
% Find all pixels whose colors fall within the specified tolerance
color_mask = false(H, W);
for idx = 1:length(ylist)
ref_r = double(im(ylist(idx), xlist(idx), 1));
ref_g = double(im(ylist(idx), xlist(idx), 2));
ref_b = double(im(ylist(idx), xlist(idx), 3));
color_mask = color_mask | ...
((c_r - ref_r) .^ 2 + (c_g - ref_g) .^ 2 + ...
(c_b - ref_b) .^ 2) |