The real time endoscopic image analysis

Radi Kadushnikov; Dmitry Bykov; Sergey Studenok; Vyacheslav Mizgulin

doi:10.1117/12.2268721

17 March 2017 The real time endoscopic image analysis

Radi Kadushnikov, Dmitry Bykov, Sergey Studenok, Vyacheslav Mizgulin

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.

Citation Download Citation

Radi Kadushnikov, Dmitry Bykov, Sergey Studenok, and Vyacheslav Mizgulin "The real time endoscopic image analysis", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411E (17 March 2017); https://doi.org/10.1117/12.2268721

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