Lilo : Fast and pixel-accurate stitching for 2D tiles
% Written by Maxime Deforet, April 5. 2012.
% INPUT :
% - mozaic : array of "overlapping graph"
% exemple : [[1,2];[2,3];[3,4];[4,5];[3,6];[6,7];[7,8];[8,9];[9,10]];
% for
% 2 1
% 3 4 5
% 6 7 8
% 10 9
% - files : array of N cells, each of these cells is the full path of the tile i.
% example :
% folder='/home/your_images';
% files=dir(folder);
% files=sort_nat({files.name});
% for i=1:10
% Files{i}=fullfile(folder,files{i});
% end
%
% OUTPUT :
% - A : stitched image from tiles
% - Xmozaic : xy positions of tiles
Zitieren als
maxime (2024). Lilo : Fast and pixel-accurate stitching for 2D tiles (https://www.mathworks.com/matlabcentral/fileexchange/36611-lilo-fast-and-pixel-accurate-stitching-for-2d-tiles), MATLAB Central File Exchange. Abgerufen.
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxKategorien
- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Morphological Operations >
Tags
Quellenangaben
Inspiriert von: rude: a pedestrian run-length decoder-encoder, sort_nat: Natural Order Sort
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