Extraction of Salient Contours in Color Images

  • Vassilios Vonikakis
  • Ioannis Andreadis
  • Antonios Gasteratos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3955)


In this paper we present an artificial cortical network, inspired by the Human Visual System (HVS), which extracts the salient contours in color images. Similarly to the primary visual cortex, the network consists of orientation hypercolumns. Lateral connections between the hypercolumns are modeled by a new connection pattern based on co-exponentiality. The initial color edges of the image are extracted in a way inspired by the double-opponent cells of the HVS. These edges are inputs to the network, which outputs the salient contours based on the local interactions between the hypercolumns. The proposed network was tested on real color images and displayed promising performance, with execution times small enough even for a conventional personal computer.


Color Image Human Visual System Primary Visual Cortex Color Edge Cluttered Background 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Vassilios Vonikakis
    • 1
  • Ioannis Andreadis
    • 1
  • Antonios Gasteratos
    • 2
  1. 1.Laboratory of Electronics, Section of Electronics and Information Systems Technology, Department of Electrical and Computer EngineeringDemocritus University of ThraceXanthiGreece
  2. 2.Laboratory of Robotics and Automation, Section of Production Systems, Department of Production and Management EngineeringDemocritus University of ThraceXanthiGreece

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