Implementation and verification of low-level image descriptors for medical image retrieval
This work builds upon an existing framework for medical image retrieval developed as a course project at FAU (MEDIX) and expands it in two significant ways:
(1) it should incorporate additional low-level image descriptors recently proposed in the literature (e.g., CEDD, FCTH, etc.); and
(2) it should be evaluated against a widely used dataset of radiology images, e.g. IRMA (http://ganymed.imib.rwth-aachen.de/irma/index_en.php).
The goal of this thesis is to implement and test 2-4 low-level image descriptors published in the literature, integrate them into MEDIX, and evaluate their performance against a standard dataset.
Supervisor: Dr Oge Marques
Department of Computer & Electrical Engineering and Computer Science (CEECS)
Florida Atlantic University (FAU)
777 Glades Road
Boca Raton, FL 33431 - USA
2 comments:
Thanks for the nod.
Keep up the good work, both in your research and your blog (both of excellent quality!).
Cheers,
-- OM
Feel that this topic is very interesting who want to do thesis in image processing. i m also searching new research domain on image processing.
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