Rearrange matrix terms is a challenge

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Roger Breton
Roger Breton 2022-5-3
回答： Binaya 2023-10-11
I am not finding exactly the right parameters to rearrange the terms of a matrix? It starts off as an RGB image I later convert to Lab, and want to store the Lab values to a text file in a particular rows x columns order, such that I end up with 49 rows by 33 columns. This is the code I have so far :
img = imread('Image 8-bit aRGBD65.tif');
imshow(img);
img_double = im2double(img);
img2Lab = rgb2lab(img_double, 'ColorSpace','adobe-rgb-1998', 'WhitePoint','d50');
LabIMG = reshape(permute(img2Lab,[3 1 2]),3,[]); % 3 x 1617
The LabIMG give mes a 3 rows x 1617 columns like this :
What I would like to have is for the data to be rearranged this way :
A1 = 42.29 66.60 0.69
B1 = some data (not shown)
C1 = some other data (not shown either)
... up to column 49 (AW1)
Then, the second row would follow with :
A2 = 47.57 58.15 1.54
B2 = ...
B3 = ...
.... Up to BW1
Third row :
C1 = 53.84 46.90 -0.31
C2 = ...
C3 = ...
... Up to CW1
Until I have 33 rows by 49 data points. I tried Transpose to no avail :
Transposed_CIELab = transpose(LabIMG);
I enclosed the resultant text file.... in case
I'm going in circles... Any help is appreciated.
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Stephen23
Stephen23 2022-5-3
Ran in:
imfinfo('Imge file.png')
ans = struct with fields:
Filename: '/users/mss.system.Rr7KOA/Imge file.png' FileModDate: '03-May-2022 20:20:05' FileSize: 3546 Format: 'png' FormatVersion: [] Width: 49 Height: 33 BitDepth: 24 ColorType: 'truecolor' FormatSignature: [137 80 78 71 13 10 26 10] Colormap: [] Histogram: [] InterlaceType: 'none' Transparency: 'none' SimpleTransparencyData: [] BackgroundColor: [] RenderingIntent: [] Chromaticities: [] Gamma: [] XResolution: [] YResolution: [] ResolutionUnit: [] XOffset: [] YOffset: [] OffsetUnit: [] SignificantBits: [] ImageModTime: '3 May 2022 20:20:05 +0000' Title: [] Author: [] Description: [] Copyright: [] CreationTime: [] Software: [] Disclaimer: [] Warning: [] Source: [] Comment: [] OtherText: []
Your image has 33x49x3 = 4851 elements. How do you expect to reshape 4851 elements into 33x49 = 1617 elements?
Roger Breton
Roger Breton 2022-5-3
编辑：Roger Breton 2022-5-3
I was coming to a solution on my own, using a loop. It's not elegant :
LabIMG = reshape(permute(img2Lab,[3 1 2]),3,[]); % 3 x 1617
% Note: Les données sont en ordre de Colonnes dans LabIMG
Position = 1;
RowStep = 1;
for i = 1:1617
Index(i) = Position;
Position = Position + 49;
reste = rem(i,33);
if (reste == 0)
RowStep = RowStep + 1;
Position = RowStep;
end
end
IndexColumn = transpose(Index);
CIE_L = transpose(LabIMG(1,:,:)); % --> k'th slice along x direction
CIE_a = transpose(LabIMG(2,:,:)); % --> k'th slice along y direction
CIE_b = transpose(LabIMG(3,:,:)); % --> k'th slice along z direction
Final = [IndexColumn, CIE_L, CIE_a, CIE_b];
Let me digest your comment...
At this stage, I'm going to read on Matlab "sorting". We'll see where it gets me but glad I thought about the remainder function, so that I can test the position in the row and determine whether I need to break it or not on the base of remainder. Sigh! ...

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回答（1 个）

Binaya
Binaya 2023-10-11
Hi Roger, 
As per my understanding, you would like to merge the 3 channels of image in LAB format, given in text file into a single object to be put in an cell in the table.
Please find the below code for creating the table of size [33,49]:
load('Transposed CIE Lab.txt');
cellArray = cell(33, 49);
% Store each column in the cell array
for i = 1:33
for j = 1:49
cellArray{i,j} = Transposed_CIE_Lab((i-1)*10+j, :);
end
end
table = cell2table(cellArray)
Following this you can export the created table into a text file.
I hope this solves your query.
Regards 
Binaya

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