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  4. Region of interest detection with iterative colour clustering and a global weighting scheme
 
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2017
Journal Article
Title

Region of interest detection with iterative colour clustering and a global weighting scheme

Title Supplement
Abstract
Abstract
Many modern surgical systems utilize advanced computer vision and image processing techniques for a vast variety of tasks, such as object recognition, segmentation, classification and 3D reconstruction. In many cases, the extraction of a specific region of interest (ROI) in the image is performed prior to further processing steps. This increases the computation speed and may improve the quality of the system´s output because misleading elements in the image are masked out. We present a novel approach that considers global colour distributions to extract one (or more) ROIs in a camera image stream. Our method is both fast and robust against illumination discontinuities, irregularities in the texturing of surfaces and false areas with very similar colour. The method is used for the detection of human skin in an operating room environment for a camera based navigation system.
Author(s)
Katanacho, Manuel
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Hoffmann, Jonas
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Uhlmann, Eckart  
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Journal
International journal of computer assisted radiology and surgery  
Project(s)
VINA
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)  
Conference
International Congress and Exhibition "Computer Assisted Radiology and Surgery" (CARS) 2017  
Language
English
Fraunhofer-Institut für Produktionsanlagen und Konstruktionstechnik IPK  
Keyword(s)
  • region of interest

  • segmentation

  • skin detection

  • surgical navigation

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