How to extract pixel intensity of a grayscale image (*.jpg) to a MS Excel table
12 次查看(过去 30 天)
显示 更早的评论
Hello everyone, I am a very new beginner with image processing and Mathlab. Please help me with the following isse, many thanks in advance !
I have a grayscale image. I'd like to extract its pixel intensities to a MS Excel table with three vectors, including pixel intensiy, X and Y coordinates of the pixel.
0 个评论
采纳的回答
Sameer
2024-9-16
编辑:Sameer
2024-9-16
Hi Mac
From my understanding, you want to extract pixel intensities from a grayscale image and save them in an 'MS Excel' table with the corresponding X and Y coordinates.
Here’s how you can achieve it:
1. Read the Image: First, ensure your grayscale image is accessible, either in the current directory or by providing the full path.
% Read the grayscale image
img = imread('your_image.jpg');
2. Extract Pixel Intensities and Coordinates: Loop through each pixel to gather intensity values and their coordinates.
% Get the size of the image
[rows, cols] = size(img);
% Initialize vectors for storing pixel data
pixelIntensity = [];
xCoordinates = [];
yCoordinates = [];
% Loop through each pixel
for x = 1:cols
for y = 1:rows
% Append data to vectors
pixelIntensity = [pixelIntensity; img(y, x)];
xCoordinates = [xCoordinates; x];
yCoordinates = [yCoordinates; y];
end
end
3. Write Data to Excel: Utilize "writetable" function to save the extracted data into an Excel file.
% Create a table from the vectors
dataTable = table(xCoordinates, yCoordinates, pixelIntensity, ...
'VariableNames', {'X', 'Y', 'Intensity'});
% Write the table to an Excel file
writetable(dataTable, 'pixel_data.xlsx');
Please refer to the below MathWorks documentation link:
Hope this helps!
更多回答(1 个)
Image Analyst
2024-9-16
See my attached demo that writes an image out to a CSV text file that can be read in by Excel.
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Import, Export, and Conversion 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!