Extracting features from a hyperspectral image
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Luqman Safdar
am 4 Feb. 2023
Kommentiert: Luqman Safdar
am 21 Apr. 2023
Hi, could anyone please recommend a step-by-step tutorial for an absolute beginner to go from image to data? I have hundreds of NIR images and want to extract data out to start the modelling etc., but having no experience with imaging data I am clueless. I assume there would be guided tutorials with instructions on how to go from .raw and .hdr to the stage where you have numbers in an output file to start testing. Any recommendataions are greatly appreciated.
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Image Analyst
am 4 Feb. 2023
You're asking too much. We can't give you a lesson-by-lesson course on hyperspectral imaging. Try searching online for one.
However to get started with the basics of image processing in MATLAB, see my Image Segmentation Tutorial in my File Exchange:
It's a generic, general purpose demo of how to threshold an image to find blobs, and then measure things about the blobs, and extract certain blobs based on their areas or diameters.
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Image Analyst
am 21 Apr. 2023
Well that's the art of image analysis. You'll learn from experience. Basically you craft an algorithm to process your image until you can get to a point where you can threshold your image into things/regions you're interested in, and those you're not (background). If you're lucky you can threshold the image right away. If not you need to use your experience to think up an algorithm to get to a point where you can threshold. Hint: almost never is the first step edge detection or a global contrast adjustment (or histogram equalization) even though that's what novices usually try first.
No it does not matter what method you use as long as it works and gives you what you want. Sure, it may not be efficient or may contain unneeded operations or may be a different algorithm than I (with over 40 years of image processing experience) would have developed, but as long as it gives you something you can use in the end, that's all that matters.
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