1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 | % Created by LI Xu % Version 1.0 % February 22, 2024 % If you have any question about this code, % please do not hesitate to contact me via E-mail: % jeremy456@163.com % Blog: % http://blog.sciencenet.cn/u/lixujeremy clear; clc; timebegin=tic; cur_data=date; cur_time=fix(clock); str1=sprintf('%s %.2d:%.2d:%.2d', cur_data, cur_time(4), cur_time(5), cur_time(6)); fprintf('Time Begin: '); fprintf(str1); fprintf('\n'); filename='wheat'; % Source Directory SouDir='input'; % Destination Directory DesDir='output'; files=dir(SouDir); files=files(3:end); for ii=1:numel(files) % construct the input file path filepath=fullfile(SouDir, files(ii).name); [image, geo]=readgeoraster(filepath); image=double(image); try info=geotiffinfo(filepath); catch info=georasterinfo(filepath); end Num_bands=size(image, 3); if Num_bands==3 RGB=image; else RGB=zeros(size(image, 1), size(image, 2), 3); RGB(:, :, 1)=image(:, :, 4); RGB(:, :, 2)=image(:, :, 2); RGB(:, :, 3)=image(:, :, 1); end % Normalise the RGB bands [0, 255] RGB=GenNormalise(RGB); % https://www.mathworks.com/help/images/understanding-color-spaces-and-color-space-conversion.html xyz=rgb2xyz(RGB); lab=rgb2lab(RGB); ycbcr=rgb2ycbcr(RGB); ntsc=rgb2ntsc(RGB); HSV=rgb2hsv(RGB); % ExG = 2 * G - R - B ExG=2*RGB(:, :, 2)-RGB(:, :, 1)-RGB(:, :, 3); otpath=strsplit(files(ii).name, '_'); otpath=otpath(2:end); otpath=strjoin(otpath, '_'); otpath_rgb=[filename, '_rgb_', otpath]; otpath_hsv=[filename, '_hsv_', otpath]; otpath_xyz=[filename, '_xyz_', otpath]; otpath_lab=[filename, '_lab_', otpath]; otpath_ycbcr=[filename, '_ycbcr_', otpath]; otpath_ntsc=[filename, '_ntsc_', otpath]; otpath_exg=[filename, '_exG_', otpath]; otpath_rgb=fullfile(DesDir, otpath_rgb); otpath_hsv=fullfile(DesDir, otpath_hsv); otpath_xyz=fullfile(DesDir, otpath_xyz); otpath_lab=fullfile(DesDir, otpath_lab); otpath_ycbcr=fullfile(DesDir, otpath_ycbcr); otpath_ntsc=fullfile(DesDir, otpath_ntsc); otpath_exg=fullfile(DesDir, otpath_exg); try geotiffwrite(otpath_rgb, RGB, geo); geotiffwrite(otpath_hsv, HSV, geo); geotiffwrite(otpath_xyz, xyz, geo); geotiffwrite(otpath_lab, lab, geo); geotiffwrite(otpath_ycbcr, ycbcr, geo); geotiffwrite(otpath_ntsc, ntsc, geo); geotiffwrite(otpath_exg, ExG, geo); catch strcmd=['gdalinfo ', filepath]; [~, cmdout]=system(strcmd); epsg=extractBetween(cmdout, "EPSG:"," got from GeoTIFF keys"); epsg=epsg{1}; % geotiffwrite(otpath, uint8(class_imag), geo, 'GeoKeyDirectoryTag', info.GeoTIFFTags.GeoKeyDirectoryTag); geotiffwrite(otpath_rgb, RGB, geo, 'CoordRefSysCode', ['EPSG:', epsg], 'TiffType', 'bigtiff'); geotiffwrite(otpath_hsv, HSV, geo, 'CoordRefSysCode', ['EPSG:', epsg], 'TiffType', 'bigtiff'); geotiffwrite(otpath_xyz, xyz, geo, 'CoordRefSysCode', ['EPSG:', epsg], 'TiffType', 'bigtiff'); geotiffwrite(otpath_lab, lab, geo, 'CoordRefSysCode', ['EPSG:', epsg], 'TiffType', 'bigtiff'); geotiffwrite(otpath_ycbcr, ycbcr, geo, 'CoordRefSysCode', ['EPSG:', epsg], 'TiffType', 'bigtiff'); geotiffwrite(otpath_ntsc, ntsc, geo, 'CoordRefSysCode', ['EPSG:', epsg], 'TiffType', 'bigtiff'); geotiffwrite(otpath_exg, ExG, geo, 'CoordRefSysCode', ['EPSG:', epsg], 'TiffType', 'bigtiff'); end disp(['[', num2str(ii), '/', num2str(numel(files)), ']~', files(ii).name]); end fprintf('Time Begin: '); fprintf(str1); fprintf('\n'); cur_data=date; cur_time=fix(clock); str2=sprintf('%s %.2d:%.2d:%.2d', cur_data, cur_time(4), cur_time(5), cur_time(6)); fprintf('Time End: '); disp(str2); timespan=toc(timebegin); fprintf('Time Span: %.4f s\n', timespan); disp('***********************************************'); function output=GenNormalise(input) output=input*0; for ii=1:size(input, 3) image=input(:, :, ii); % red_normalized = (red - red.min()) / (red.max() - red.min()) * 255 aa=image(:); image_normalized=(image-min(aa))./(max(aa)-min(aa))*255.0; output(:, :, ii)=image_normalized; end end |
Wednesday, February 28, 2024
Matlab: Convert RGB to HSV/XYZ/LAB/Ycbcr/NTSC
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