Open AccessOn specific features of the endoscopic image processing
Author(s) -
Marina A. Galeeva,
Maksim Baranov,
V. I. Pavlov,
Elena Velichko,
Sergey V. Zavjalov,
Igor Govorov,
Tatiana Pervunina,
Eduard Komlichenko
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1236/1/012036
Subject(s) - artificial intelligence , texture (cosmology) , computer science , histogram , image processing , pattern recognition (psychology) , image (mathematics) , computer vision
Main principles of endoscopic image processing are considered. Specific characteristics of such images and complexities in their classification are discussed. We suggest that several features may be regarded as specific signs that can be used to discriminate between benign and malignant loci. The methods of colour histograms, gradients and texture analysis are considered and discussed.