Contour-Based Progressive Identification of Known Shapes in Images

  • Stefano Ferilli
  • Floriana Esposito
  • Domenico Grieco
  • Marenglen Biba
Part of the Communications in Computer and Information Science book series (CCIS, volume 385)


Information Retrieval in digital libraries is at the same time a hard task and a crucial issue. While the primary type of information available in digital documents is usually text, images play a very important role because they pictorially describe concepts that are dealt with in the document. Unfortunately, the semantic gap separating such a visual content from the underlying meaning is very wide, and additionally image processing techniques are usually very demanding in computational resources. Hence, only recently the area of Content-Based Image Retrieval has gained more attention. In this paper we describe a new technique to identify known objects in a picture. It is based on shape contours, and works by progressive approximations to save computational resources and to improve preliminary shape extraction. Small (controlled) and more extensive experiments are illustrated, yielding interesting results.


Shape Recognition Information Retrieval Document Processing Digital Libraries 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Stefano Ferilli
    • 1
  • Floriana Esposito
    • 1
  • Domenico Grieco
    • 1
  • Marenglen Biba
    • 2
  1. 1.Dipartimento di Informatica, LACAM LaboratoryUniversità degli Studi di Bari “Aldo Moro”Italy
  2. 2.Computer Science DepartmentUniversity of New YorkTiranaAlbania

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