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Progress in Image Analysis and Processing II cover

This book presents reports by well-known experts on the most recent research results in image coding, analysis and understanding, and promising applications for solving real problems in manufacturing, remote sensing and biomedicine. The topics covered include shape analysis and computer vision, pattern recognition methods and applications, parallel computer architectures for image processing and analysis, human perception and use of artificial intelligence techniques for image understanding, languages for image abstraction, processing and retrieval, vision modules and neural computation.


Contents:
  • Robust Methods of 2D and 3D Image Description (Invited Lecture) (J Illingworth et al.)
  • Segmentation by Auto-Adaptative Thresholding (T Quiguer et al.)
  • Collaboration Between Computer Graphics and Computer Vision (Invited Lecture) (A Gagalowicz & J-M Vezien)
  • Active Vision System with Fixation Point Shifting (Y Sato et al.)
  • Image Processing: Cooking or Chemistry? (Invited Lecture) (B Zavidovique & V Serfaty)
  • A Language for Imaging Applications (R Cecchini & A Del Bimbo)
  • Smart Algorithms for Bit-Serial Arrays (invited Lecture) (P-E Danielsson)
  • A Hierarchical Evidence Combining Edge Detector (E R Hancock et al.)
  • Machine Vision Approaches to Automatic Inspection (Invited Lecture) (H Freeman)
  • A Vision System for Stereotaxic Neurosurgery (M G Albanesi et al.)
  • and other papers

Readership: Computer scientists and engineers.