It is most appropriate that the first volume to appear in the series "Advanced Applications in Pattern Recognition" should be this monograph by Nagao and Matsuyama. The work described here is a deep unification and synthesis of the two fundamental approaches to pat tern recognition: numerical (also known as "statistical") and struc tural ("linguistic," "syntactic"). The power and unity of the meth odology flow from the apparently effortless and natural use of the knowledge-base framework illuminated by the best results of artificial intelligence research. An integral part of the work is the algorithmic solution of many hitherto incompletely or clumsily treated problems. It was on the occasion of a laboratory visit in connection with the 4th IJCPR (of ~hich Professor Nagao was the very able Program Chairman) that I saw in operation the system described here. On the spot I expressed the desire to see the work described for the inter national technical audience in this series and the authors were kind enough to agree to contribute to a new and unknown series. With the publication of this monograph on the eve of the 5th ICPR my wish is fu1fi11~d. I want to thank here the authors and Plenum Publishing Corporation for making this volume and the series a reality.
Erscheinungsdatum: 12.02.2012

lgrsnf/R:\062020\springer2\10.1007%2F978-1-4615-8294-6.pdf

nexusstc/A Structural Analysis of Complex Aerial Photographs/67efa17e5530fe7c5783928cd2c54c07.pdf

zlib/Engineering/Makoto Nagao, Takashi Matsuyama (auth.)/A Structural Analysis of Complex Aerial Photographs_5925984.pdf

Springer US : Imprint : Springer

Advanced applications in pattern recognition, Boston, MA, 1980

United States, United States of America

Springer Nature, New York, NY, 2013

1, 2012

lg2751435

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It is most appropriate that the first volume to appear in the series "Advanced Applications in Pattern Recognition" should be this monograph by Nagao and Matsuyama. The work described here is a deep unification and synthesis of the two fundamental approaches to patƯ tern recognition: numerical (also known as "statistical") and strucƯ tural ("linguistic," "syntactic"). The power and unity of the methƯ odology flow from the apparently effortless and natural use of the knowledge-base framework illuminated by the best results of artificial intelligence research. An integral part of the work is the algorithmic solution of many hitherto incompletely or clumsily treated problems. It was on the occasion of a laboratory visit in connection with the 4th IJCPR (of ~hich Professor Nagao was the very able Program Chairman) that I saw in operation the system described here. On the spot I expressed the desire to see the work described for the interƯ national technical audience in this series and the authors were kind enough to agree to contribute to a new and unknown series. With the publication of this monograph on the eve of the 5th ICPR my wish is fu1fi11~d. I want to thank here the authors and Plenum Publishing Corporation for making this volume and the series a reality

Front Matter....Pages i-xxiii
Introduction....Pages 1-13
Overview of the System....Pages 14-31
Some Basic Techniques in Picture Processing and Feature Extraction....Pages 32-82
Structuring of Picture Data....Pages 83-97
Extraction of Characteristic Regions....Pages 98-118
Object Recognition....Pages 119-146
Control Structure of the System....Pages 147-170
Performance Evaluation....Pages 171-179
Conclusion....Pages 180-184
Back Matter....Pages 191-199

2020-08-30