how can we create image through dataset consisting of 702 rows and 1 column?

I want to create image from the dataset consisting of 702 rows and 1 column. Can you help me with the matlab code for creating the image?

thanks

[Image Analyst]

Exactly what is the dataset? Just a bunch of 702 row vectors that you need to stitch vertically? Are they already in an array or are they in different files?

[Shruti Awasthi]

i am using csv file containing 702 rows of reflection coefficient values varying according to the frequency range [3-11GHz]. i want to create image from that data set.

[Shruti Awasthi]

basically its for tumor detection inside the breast tissue.

[Walter Roberson]

Do you have several of these files, one for each frequency, with the 702 being locations?

Do you have several of these files, one for each location, with 702 being the number of frequencies?

[Shruti Awasthi]

i have 19 locations each containing 702 rows

Answer 1

[Walter Roberson]

I = reshape(Data, 26, 27);
imshow(I, [])

[Shruti Awasthi]

what is 26 and 27 in imshow command?

[Walter Roberson]

702 pixels can be factored into rectangles in multiple ways. The 26*27 or 27*26 seems most likely, unless the pixels are rgb or unless the image is known to have a 2:3 or 3:2 aspect ratio.

Answer 2

[Image Analyst]

Attach one of the CSV files. Basically you just read in the CSV file and it's automatically an spectrogram image that can be displayed.

grayImage = readmatrix(csvFileName);
[rows, columns] = size(grayImage)
imshow(grayImage, []);
ylabel('Row', 'FontSize', 18);
xlabel('Frequency', 'FontSize', 18)

[Shruti Awasthi]

i am getting single line, attached.

[Image Analyst]

I'm sorry, where is the csv file attached? I can't find it.

You must have fewer frequencies than you have lines. You can try to use axis to adjust the image size on the figure.

[Shruti Awasthi]

sorry, its been attached now. please check

[Image Analyst]

What does column 1 represent? Is it the signal value at the first frequency? It seems to be increasing monotonically for some reason and seems to be a very different range than the rest of the numbers. It looks like a gray scale ramp. Is it the frequency?

The data is 802 by 20. Do you want to combine multiple csv files into a single image, like each file is one strip of the final image, or do you want an image for each?

I've noticed that you have two accounts, @SHRUTI AWASTHI and @Shruti Awasthi. Why is that?

[Shruti Awasthi]

first column is representing the frequency range (from 3 to 11GHz, with an increement of 0.1 GHz). and rest of the columns are representing 19 different locations. For each frequency, there is different data for the the different 19 locations.

i want the sinlge image.

i forgot the password for the other account, created a new one.

[Shruti Awasthi]

i want the image something like this from my data set.

Answer 3

[Image Analyst]

Try this:

filename = 'x_19_loc(without).csv';
data = readmatrix(filename);
freq = data(:, 1);
[rows, columns] = size(data)
XData = [1, columns];
YData = [min(freq), max(freq)]
imagesc(mat2gray(data(:, 2:end)));
colormap(gray(256))
% imshow(data(:, 2:end), [], 'XData', XData, 'YData', YData, 'InitialMagnification', 2000000);
grid on;
xlabel('Location')
ylabel('Frequency')
axis('on')
xticks(1:columns)

[Shruti Awasthi]

But i dont think through this ill be able to detect the tumor.

Kindly, refer this document, i want the image for the tumor location.

i have the data set for with and without tumor.

refer pg 5-6 for the algorithm .

[Image Analyst]

Sorry, I don't know how to wrangle your data into the proper format for further processing. You'll have to figure that out on your own.

[Shruti Awasthi]

okay. no problem.

Thanks for your time and efforts.