How to use machine learning in image segmentation?

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Kyle
Kyle 2016-4-17
评论： Salma Hassan 2017-7-25
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
http://www.mathworks.com/matlabcentral/fileexchange/46082-retinal-vessel-detection-by-gabor-transform-and-machine-learning--a-tutorial
is a good start but I'm not sure how I can apply this code to a entire image library?

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回答（1 个）

Image Analyst
Image Analyst 2016-4-17
Assuming your "library" is a collection of individual image files, you can follow the FAQ:
http://matlab.wikia.com/wiki/FAQ#How_can_I_process_a_sequence_of_files.3F
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.
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Image Analyst
Image Analyst 2016-4-18
Well, I was answering your last question where you asked "how I can apply this code to a entire image library?" You asking that question led me to believe this was not the case: "I know how to process a sequence of images"
Sorry, but we have not run that File Exchange submission, so if you have a question about that, your best (only) approach is to ask the author who wrote and uploaded it. No one else will know about it.
Salma Hassan
Salma Hassan 2017-7-25
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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