17 March 2017 The real time endoscopic image analysis
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Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103411E (2017) https://doi.org/10.1117/12.2268721
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
Abstract
A new method for endoscopic image analysis in real time is presented. This method allows improving accuracy and helps avoiding subjectivity when performing endoscopic image classification. The method is based on use of Scale– invariant feature transform detector and computation of gastric mucosa pit–pattern skeletons. Subsequent use of the “Bag of visual words” method (“Bag of features”) and K–means method for key points clustering allows image classification with more than 85% accuracy.
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Radi Kadushnikov, Dmitry Bykov, Sergey Studenok, Vyacheslav Mizgulin, "The real time endoscopic image analysis", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411E (17 March 2017); doi: 10.1117/12.2268721; https://doi.org/10.1117/12.2268721
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