How to use machine learning in image segmentation?

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Kyle il 17 Apr 2016
Commentato: Salma Hassan il 25 Lug 2017
I have an image database containing raw medical images (lung x-ray image) and their corresponding binary masks indicating blood vessels. I would like to apply machine learning techniques suck as GLM on these training data to build a model. So I can use this model to generate binary blood vessle mask for other lung x-ray images. I need some help for a machine learning workflow/pseudo code for this project.
The Matlab code
is a good start but I'm not sure how I can apply this code to a entire image library?

Risposte (1)

Image Analyst
Image Analyst il 17 Apr 2016
Assuming your "library" is a collection of individual image files, you can follow the FAQ:
In the middle of the for loop, you could call AnalyzeSingleImage() which is a function you write that has all of that MATLAB code in it that you got (and probably modified) from the File Exchange.
  3 Commenti
Salma Hassan
Salma Hassan il 25 Lug 2017
can i use the weka application for this problem . the input is the attributes like (glcm features ) and choose the classifier from weka

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