Foreword to the special issue on pattern recognition and image analysis

Foreword to the special issue on pattern recognition and image analysis Neural Comput & Applic (2017) 28:2371–2372 DOI 10.1007/s00521-017-3161-y EDITORIAL Foreword to the special issue on pattern recognition and image analysis 1 2 3 • • Jaime S. Cardoso Xose M. Pardo Roberto Paredes Published online: 15 July 2017 The Natural Computing Applications Forum 2017 The papers included in this special issue provide a snapshot from cardiac magnetic resonance data, which requires of image analysis and pattern recognition research today. measuring the left ventricle (LV) volume. Santiago et al. They are the very best of the Seventh Iberian Conference address precisely this problem, proposing solutions based on Pattern Recognition and Image Analysis (IbPRIA on active shape models (ASM) to segment the whole MR 2015), held on 17–19 June, 2015, in Santiago de Com- volume simultaneously, instead of dealing with each slice postela, Spain. The IbPRIA is an international conference independently. Polygonal approximations of digital planar co-organised by the Spanish AERFAI and Portuguese curves are another important problem in image processing, APRP chapters of the IAPR International Association for pattern recognition and computer graphics. The main goal Pattern Recognition. IbPRIA 2015 attracted 141 papers is to provide a compact representation of the original curve from 36 different countries. After the reviewing http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neural Computing and Applications Springer Journals

Foreword to the special issue on pattern recognition and image analysis

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Publisher
Springer London
Copyright
Copyright © 2017 by The Natural Computing Applications Forum
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Probability and Statistics in Computer Science; Computational Science and Engineering; Image Processing and Computer Vision; Computational Biology/Bioinformatics
ISSN
0941-0643
eISSN
1433-3058
D.O.I.
10.1007/s00521-017-3161-y
Publisher site
See Article on Publisher Site

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