22 September 2010

Call for papers: Feature Extraction and Selection for Images Recognition in Large Databases

A special issue of International Journal of Signal and Imaging Systems Engineering

Image recognition is a research area has been widely studied by the scientific communities. Research in this domain is mainly aimed at categorizing images from different sources and different applications of computer vision systems. From the many methods developed for extracting local and global features, an automatic selection of the most relevant is necessary in the learning or the recognition stages. The objective of this special issue is to review recent work in this area, focusing on new developments, whether theoretical, methodological and applications.

Topics of interest include, but are not limited to:
  • Feature extraction and description
  • Relevant feature selection
  • Statistical learning methods for image classification
  • Multiple kernel learning and multi-model classification
  • Image clustering, classification and recognition
  • Content-based image retrieval systems
  • CBIR for specific and heterogeneous image databases,
  • Biometric authentication, face and iris recognition
  • Classification tools for image-based diagnosis
  • Biological and medical imaging
  • Data mining
  • Robotics applications
Important Dates
Manuscript due date: 10 February, 2011
Notification of acceptance: 10 April, 2011
Submission of final manuscript: 10 May, 2011

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