MATLAB: How to convert all csv file to grayscale image and then save them

image analysisneural network

I have a database of experiment .csv files. how to extract the feature from this csv file with max min normalization? I need a matrix(with values between 0 to 255) to be converted to a gray scale image.

Best Answer

T = readtable('file.csv');
V = T.Variables;
V = V - min(V(:));
V = V ./ max(V(:)) * 255;
Img = uint8(V);

Now the matrix Img is a greyscale image.

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MATLAB: How to split an hsv image into separate h,s,v components

HSV = rgb2hsv(YourRGBImage);
H = HSV(:,:,1);
S = HSV(:,:,2);
V = HSV(:,:,3);

MATLAB: How to detect all the pixel intensity values in a grayscale image and store them

You can call impixelinfo() to let you see the gray levels as you mouse around over the image.

To get the gray level of the image at a particular location, just index it:

grayLevel = grayImage(row, column);      % For a gray scale image.
rgbValues = rgbImage(row, column, :);    % For a color image or gray scale image.

or you could use impixel()

pixelValue = impixel(yourImage); % where your image can be gray scale or color.

Also I'm attaching a script that converts an image into a CSV file where each column is [x, y, grayLevel] or [x, y, r, g, b]

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MATLAB: How to split an hsv image into separate h,s,v components

MATLAB: How to detect all the pixel intensity values in a grayscale image and store them

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