Heatmap image convert to data. Percentage of black to white.

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muhammad afiq
muhammad afiq am 17 Jun. 2020
Kommentiert: Ameer Hamza am 17 Jun. 2020
Hi,
Im having some issue to find a tutorial which i can change the heatmap from my analysis to percentage. For the image convertion to black and white image, there a lot of tutorial but to anaylze the heapmap i couldnt find any. Im new to this matlab.
Original image.
Need to convert to black and white image as below
Then calculate the percentage of the ratio between black/white region. This is to analyze to heatmap.
thanks.
  2 Kommentare
Benoit Espinola
Benoit Espinola am 17 Jun. 2020
How do you load your image? What is the format in Matlab?
muhammad afiq
muhammad afiq am 17 Jun. 2020
Im not load yet to the matlab but my image in .png format

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Antworten (2)

Ameer Hamza
Ameer Hamza am 17 Jun. 2020
rgb2gray() seems to work
img = im2double(imread('image.png'));
img_gray = rgb2gray(img);
imshow(img_gray)
However, the correct solution depends on the values of color in the heatmap. Do you have such mapping?
  2 Kommentare
muhammad afiq
muhammad afiq am 17 Jun. 2020
Bearbeitet: muhammad afiq am 17 Jun. 2020
this is the actual value indication.
Ameer Hamza
Ameer Hamza am 17 Jun. 2020
Do you only have data as an image, or do you also have data in numeric format?

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Benoit Espinola
Benoit Espinola am 17 Jun. 2020
Bearbeitet: Benoit Espinola am 17 Jun. 2020
You can calculate the lightness (=brightness) of each pixel in your image.
Assuming your RGB values are between 0 and 1 (which is the default in Matlab).
you can do:
L = (max(R,G,B)-min(R,G,B))/2;
Then you can use that for your gray.
R = L;
G=L;
B=L;
And finally, you should plot it in your figure.
About the ratio between "black" and "white" regions. Depends on how you define the threashold.
Ratio = sum(L(L>0.5))/numel(L); % gives you the ratio between 0 and 1.
You can change your threashold to something sensible, though 0.5 (= 50% white) seems like a sensible value.

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