How to distinguish each fiber and analyze the properties of the fiber?

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Richard
Richard on 6 Sep 2013
Hello everyone,
I am currently trying to develop a code to analyze each fiber using the Image Processing Toolbox. The image I am working with is a microscopic image of the cross section of the fiber. I tried thresholding the image, but since the single fibers have shades of light, it is extremely difficult for Matlab to distinctly define the individual fibers. The background(empty space) is also bright so there is no real distinction between parts of the fiber and the background space. When I converted the colorimg to a grayscale then to a binaryimg, the binaryimg was not recognizing the each single fiber. I am just wondering if there is a more efficent approach to analyzing this img?
The other way I believe I can alleviate this problem is if I dye the fibers so there is a better distiction between the fiber and the background light.
Thanks in advance to who helps!
Richard
  6 Comments
Richard
Richard on 9 Sep 2013
No that gold colored image is the original image. I thought tried using greyscale/thresholding to get a better distinction, but that was not the case due to the shading in the image.

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Answers (2)

Image Analyst
Image Analyst on 9 Sep 2013
Of course if you can get a background that is not in the black to gold/yellow spectrum you will get more contrast and be able to segment these better. For example, something in the greenish/bluish hue range (a hue diametrically opposite gold). In addition, is it possible to separate the fibers so that they aren't touching? It's always better to start with a good image than to try to fix up a bad one post-acquisition.
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Image Analyst
Image Analyst on 10 Sep 2013
Sounds like consultation with a professional microscopist would be helpful. SEM images are often even more difficult to analyze than optical images because of the monochrome, perspective/3D, shadowed nature of them, but maybe if you're looking at just cross sections it mgiht be okay.

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Muthu Annamalai
Muthu Annamalai on 10 Sep 2013
Have you tried a auto-correlation and counting the peaks? This could easily give you the number of fibers, since they all resemble each other.

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