According to paper
Article Evaluation of thermography image data for machine fault diagnosis
How to obtain the grey level value at each pixel (figure 4) in the thermal image?
Hi,
If you want to convert the values of each pixel to grayscale, you should use image processing libraries such as OpenCV or Scikit-image. Also with these libraries you can visualize the data of each pixel in a matrix way.
Good luck!
Does these libraries extract the RGB M*N*3 matrix for the given thermal image?
As I have thermal image and I have to obtain RGB value at each pixel.
Does these libraries extract the RGB M*N*3 matrix for the given thermal image? Yes.
I recommend you that first explore your data. Data from advanced thermal cameras consist of RGB image and 1 extra dimension for thermal information. So if you have the complete data (4-dim) you can use the libraries to get pixel values from any dimension you want.
On the other hand, if you have just a matrix with the values (the extra dimension) standing for temperature for each pixel, you can plot a new grayscale image.
For instance,
uint_img = np.array(float_arr*255).astype('uint8') grayImage = cv2.cvtColor(uint_img, cv2.COLOR_GRAY2BGR)
Good Luck!
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