I need to segment the lung from digital chest X-ray images. If the method is automated then it will be very helpful. Which programming language would be best for the implementation of this method (Matlab, JAVA etc.)?
I think using level-set or active contour is more effective to segment this kind of images.
Matlab is user friendly to simulate such algorithms and generally for image processing.
Thank you for your reply Mr. Solemani. I will go through the active contour model and level-set methods and its look very interesting. previously i found that most of the articles reported, Active shape models (ASM) and active appearance models (AAM) are better for lung segmentation process but recently CANDEMIR et al., 2014 proposed a hybrid approach entitled "LUNG SEGMENTATION IN CHEST RADIOGRAPHS USING ANATOMICAL ATLASES WITH NONRIGID REGISTRATION " in IEEE TRANSACTIONS ON MEDICAL IMAGING. So from the literature survey I found multiple option and i confused which one is better for me. I am a beginners in image processing filed.
So now i have two more options which you suggested. could you please help me to choose the better one.
Thank you for your support.
There is an ITK image processing tool set that you could use in your study. It is quite difficult to use if you are not familiar with C++ programming, but it has a lot of good segmentation algorithms. Another positive point to use ITK is that all this image processing toolkit is specifically designed for medical image processing.
See the web page: http://www.itk.org/
I hope I have helped you
I would defintely recommend you visit www.MIPAR.us.
It is very powerful and intuitive 2D/3D image analysis software written by scientists/end-users and is about to be released as a free trial on December 14th. You can sign up on the site as well as submit images/datasets to test.
There are many image analysis options available, but I think you may just find MIPAR to be something special if you give it a try!
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