How to store all feature extracted data of images into single excel sheet

In my project I have 250 images for character recognition. All images have Feature extracted data. But I need to store all images data into single excel sheet. I tried some code but it can over right on the previous data in the excel sheet. How can I store all data in single excel sheet.
Thank you
x=cell(1,267);
n=cell(1,267);
for j=1:250
x{j} = imread(sprintf('E:/apps/project/TELUGU data/telugu sep/1/ (%d).jpg',j))
n{j} = feature_extractor_2d(x{j});
xlswrite('text1.xls',n{j},1);
end

 Réponse acceptée

If you have R2015b or later, specify the sheet name and cell reference:
cellRef = sprintf('A%d', j); % Or wherever you want it.
xlswrite('text1.xls',n{j}, 'MyResults', cellRef);
If you have R2015a or earlier, use ActiveX so it won't be slow. See attached demo.

3 commentaires

Thank you. Can you please tell me how to store data in excel single sheet. By using columns values change in the xlwrite() command. In my code n{j} array contain some data. Based on 'j' value go to next column of sheet and store the data from 'n' in that column.
You can use R1:C1 notation instead, if you want, instead of A1. So to go into row 1, column j, do this:
cellRef = sprintf('R1:C%d', j);
xlswrite('text1.xls',n{j}, 'MyResults', cellRef);
This is my code, How can i save glcm features for multiple images in excel file. I am trying this code and i get features for last image only in excel file.
clear all; close all; clc;
%path D:\matlab\data\Training\glossy\*.jpg path='D:\matlab\data\Training\test\'; list=dir([path, '*.jpg']); for x=1:length(list) images{x}=imread([path, list(x).name]);
if length(size(images{x}))==3 %check if the image I is color
I=rgb2gray(images{x});
end;
%offsets0 = [0 1; -1 1; -1 0; -1 -1];
glcm1 = graycomatrix(I); stats{x} = graycoprops(glcm1,{'all'}); writetable(struct2table(stats{x}), 'test_glcmfeatures.csv') end

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Plus de réponses (2)

Rangan M K
Rangan M K le 20 Mai 2016
Modifié(e) : Rangan M K le 20 Mai 2016
Hi Sukesh,
1. Using xlswrite in each for loop slows down the process, because each time you open and close excel sheet. Instead you can store all data into one cell and write at once in the excel sheet.
2. In case you are using your code, make sure you change page number after writing into excel sheet
xlswrite('text1.xls',n{j},Sheet(j));
if you want to continue in the same sheet, you may have to even mention the range each time you call xlswrite.
xlRange = 'E1';
xlswrite(filename,A,sheet,xlRange)
But note xlRange should keep changing in each for loop, so that you may have to write a small function which will give you an AlphaNumeric xlRange when you give row num and column number in each iteration.
Like ChangeToAlpha(2,2)=>'B2' -so when you give this range it will start adding the data from that cell
You can also use
xlRange = ['A',Linenum]; if you are always going to write from Row A

2 commentaires

Thanks for your answer, but I have one doubt. I am using this code now
x=cell(1,267);
n=cell(1,267);
xlRange = 'A1';
for j=1:250
x{j} = imread(sprintf('E:/apps/project/TELUGU data/telugu sep/%d/ (%d).jpg',i,j))
n{j} = feature_extractor_2d(x{j});
xlswrite('text4.xls',n{j},j,xlRange);
end
after using this code the excel sheet get error after 23 pages are created. The error is "Excel cannot access 'text4.xls'. The document may be read-only or encrypted."
#1 is not true for R2015b and later. They changed the way xlswrite() works.

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kaavyaa stalin
kaavyaa stalin le 21 Jan 2018
Modifié(e) : Image Analyst le 21 Jan 2018
In my project I have 50 images for quantity and price recognition. All images have feature extracted data. But I need to store all images' data into single Excel sheet. I tried some code but it can overwrite on the previous data in the excel sheet. How can I store all data in single excel sheet?

1 commentaire

Use xlswrite(). Yes, it will overwrite any existing cells in the worksheet, and existing cells not in the same place will remain. It will always go onto a single sheet unless you specify arguments to write it to different sheet(s).

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