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Fuzzy Models and Algorithms for Pattern Recognition and Image
Processing presents a comprehensive introduction of the use of
fuzzy models in pattern recognition and selected topics in image
processing and computer vision. Unique to this volume in the Kluwer
Handbooks of Fuzzy Sets Series is the fact that this book was
written in its entirety by its four authors. A single notation,
presentation style, and purpose are used throughout. The result is
an extensive unified treatment of many fuzzy models for pattern
recognition. The main topics are clustering and classifier design,
with extensive material on feature analysis relational clustering,
image processing and computer vision. Also included are numerous
figures, images and numerical examples that illustrate the use of
various models involving applications in medicine, character and
word recognition, remote sensing, military image analysis, and
industrial engineering.
Fuzzy Models and Algorithms for Pattern Recognition and Image
Processing presents a comprehensive introduction of the use of
fuzzy models in pattern recognition and selected topics in image
processing and computer vision. Unique to this volume in the Kluwer
Handbooks of Fuzzy Sets Series is the fact that this book was
written in its entirety by its four authors. A single notation,
presentation style, and purpose are used throughout. The result is
an extensive unified treatment of many fuzzy models for pattern
recognition. The main topics are clustering and classifier design,
with extensive material on feature analysis relational clustering,
image processing and computer vision. Also included are numerous
figures, images and numerical examples that illustrate the use of
various models involving applications in medicine, character and
word recognition, remote sensing, military image analysis, and
industrial engineering.
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