Paper Info
Title
Algorithms for Real-Time Endoscopy Image Processing Pipeline in Clinical Decision Support Systems
Abstract
AbstractA set of algorithms, taking in account endoscopic image features and computational cost for real-time realization is proposed. A noise reduction algorithm is based on determining the level of detail in an image fragment. For fragments with a different level of detail, different noise reduction filters are used. The enhancement algorithm is based on nonlinear contrast enhancement which highlights the contrast of vessels relative to the background without significant noise stressing, which is one of the main disadvantages of nonlinear enhancement algorithms. The custom color correction algorithm takes into account user preferences and provides a mean error less than 0.5% for each color coordinate. The “mosaic” synthesis algorithm gets panoramic images of low detail images with a mean stitching error less than 0.75 pix. The software realization of algorithms allows processing 4K endoscopic video with a speed of about 30 fps.
Year
DOI
Venue
2019
10.4018/IJERTCS.2019100103
Periodicals
Field
DocType
Volume
Computer science,Endoscopy,Image processing,Real-time computing,Clinical decision support system
Journal
10
Issue
ISSN
Citations 
4
1947-3176
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Alexandr A. Pozdeev100.34
Obukhova, N.A.202.03
Alexandr A. Motyko300.34