Studies in Fuzziness and Soft Computing

Soft Computing for Image Processing

Editors: Pal, Sankar K., Ghosh, Ashish, Kundu, Malay K. (Eds.)

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-3-7908-1858-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-3-7908-1268-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-3-7908-2468-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Any task that involves decision-making can benefit from soft computing techniques which allow premature decisions to be deferred. The processing and analysis of images is no exception to this rule. In the classical image analysis paradigm, the first step is nearly always some sort of segmentation process in which the image is divided into (hopefully, meaningful) parts. It was pointed out nearly 30 years ago by Prewitt (1] that the decisions involved in image segmentation could be postponed by regarding the image parts as fuzzy, rather than crisp, subsets of the image. It was also realized very early that many basic properties of and operations on image subsets could be extended to fuzzy subsets; for example, the classic paper on fuzzy sets by Zadeh [2] discussed the "set algebra" of fuzzy sets (using sup for union and inf for intersection), and extended the defmition of convexity to fuzzy sets. These and similar ideas allowed many of the methods of image analysis to be generalized to fuzzy image parts. For are cent review on geometric description of fuzzy sets see, e. g. , [3]. Fuzzy methods are also valuable in image processing and coding, where learning processes can be important in choosing the parameters of filters, quantizers, etc.

Table of contents (21 chapters)

  • Soft Computing and Image Analysis: Features, Relevance and Hybridization

    Pal, Sankar K. (et al.)

    Pages 1-20

  • Image Filtering Using Evolutionary Neural Fuzzy Systems

    Russo, Fabrizio

    Pages 23-43

  • Edge Extraction Using Fuzzy Reasoning

    Law, Todd (et al.)

    Pages 44-78

  • Image Compression and Edge Extraction Using Fractal Technique and Genetic Algorithm

    Mitra, Suman K. (et al.)

    Pages 79-100

  • Adaptive Clustering for Efficient Segmentation and Vector Quantization of Images

    Mitra, Sunanda (et al.)

    Pages 101-129

Buy this book

eBook $179.00
price for USA (gross)
  • ISBN 978-3-7908-1858-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.00
price for USA
  • ISBN 978-3-7908-1268-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $229.00
price for USA
  • ISBN 978-3-7908-2468-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Soft Computing for Image Processing
Editors
  • Sankar K. Pal
  • Ashish Ghosh
  • Malay K. Kundu
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
42
Copyright
2000
Publisher
Physica-Verlag Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-7908-1858-1
DOI
10.1007/978-3-7908-1858-1
Hardcover ISBN
978-3-7908-1268-8
Softcover ISBN
978-3-7908-2468-1
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XVII, 591
Number of Illustrations and Tables
332 b/w illustrations
Topics