box detection/rectangle detection

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Salad Box
Salad Box il 24 Nov 2021
Commentato: Roger Breton il 30 Gen 2024
Hi
Here is my sample image. How to automatically grab/crop/know the region of each colour square without using 'get rect' function?

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Image Analyst
Image Analyst il 24 Nov 2021
There is a function for this: colorChecker()
Attached is a full demo.
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Salad Box
Salad Box il 2 Dic 2021
Thank you! I am taking a deep breath. Colour science seems so hard core and tutorial like this is exactly what I needed.
I am really keen to go for this 8-hour course in colour science taught by you if it can be accessed in any ways?
Please advise.:)
Roger Breton
Roger Breton il 30 Gen 2024
I tried your "Test.m" code and still got the same error message: "Color patches were not detected."?
% Read in image that has a Color Checker chart in it but that has unknown image capture conditions.
% fileName = 'colorCheckerTestImage.jpg';
fileName = 'CC24 in Scene JPEG.jpg';
rgbImage = imread(fileName);

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yanqi liu
yanqi liu il 25 Nov 2021
yes,sir,use Image Analyst suggest method,can get
clc; clear all; close all;
filename = 'https://www.mathworks.com/matlabcentral/answers/uploaded_files/812319/image.jpeg';
img = imread(filename);
% use colorChecker
chart = colorChecker(img);
displayChart(chart)
% use measureColor
[colorTable, ccm] = measureColor(chart);
figure;
displayColorPatch(colorTable); set(gcf, 'units','normalized','position',[0,0,1,1])
colorTable
colorTable = 24×9 table
ROI Color Measured_R Measured_G Measured_B Reference_L Reference_a Reference_b Delta_E ___ ________________ __________ __________ __________ ___________ ___________ ___________ _______ 1 {'DarkSkin' } 115 63 42 37.54 14.37 14.92 11.905 2 {'LightSkin' } 248 171 155 64.66 19.27 17.5 15.464 3 {'BlueSky' } 71 109 182 49.32 -3.82 -22.54 22.639 4 {'Foliage' } 54 90 44 43.46 -12.74 22.72 12.144 5 {'BlueFlower' } 133 119 181 54.94 9.61 -24.79 9.0919 6 {'BluishGreen' } 69 193 191 70.48 -32.26 -0.37 9.8937 7 {'Orange' } 247 141 31 62.73 35.83 56.5 14.512 8 {'PurplishBlue'} 68 76 160 39.43 10.75 -45.17 7.7894 9 {'ModerateRed' } 240 84 96 50.57 48.64 16.67 18.741 10 {'Purple' } 73 34 97 30.1 22.54 -20.87 13.951 11 {'YellowGreen' } 154 202 60 71.77 -24.13 58.19 9.0499 12 {'OrangeYellow'} 254 182 19 71.51 18.24 67.37 14.268 13 {'Blue' } 46 52 148 28.37 15.42 -49.8 9.7419 14 {'Green' } 17 166 74 54.38 -39.72 32.27 14.419 15 {'Red' } 221 54 37 42.43 51.05 28.62 26.85 16 {'Yellow' } 253 238 22 81.8 2.67 80.41 17.854
  1 Commento
Salad Box
Salad Box il 29 Nov 2021
Thank you so much for confirming and explaning this! Very very useful!!

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