Microscope Image Processing - Hardcover

 
9780123725783: Microscope Image Processing

Synopsis

Digital image processing, an integral part of microscopy, is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, technique, and applications of this technology.

Written by leading experts in the field, this book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments. Microscope Image Processing covers image digitization and display, object measurement and classification, autofocusing, and structured illumination.

Key Features:

  • Detailed descriptions of many leading-edge methods and algorithms
  • In-depth analysis of the method and experimental results, taken from real-life examples
  • Emphasis on computational and algorithmic aspects of microscope image processing
  • Advanced material on geometric, morphological, and wavelet image processing, fluorescence, three-dimensional and time-lapse microscopy, microscope image enhancement, MultiSpectral imaging, and image data management

This book is of interest to all scientists, engineers, clinicians, post-graduate fellows, and graduate students working in the fields of biology, medicine, chemistry, pharmacology, and other related fields. Anyone who uses microscopes in their work and needs to understand the methodologies and capabilities of the latest digital image processing techniques will find this book invaluable.

  • Presents a unique practical perspective of state-of-the-art microcope image processing and the development of specialized algorithms
  • Each chapter includes in-depth analysis of methods coupled with the results of specific real-world experiments
  • Co-edited by Kenneth R. Castleman, world-renowned pioneer in digital image processing and author of two seminal textbooks on the subject

"synopsis" may belong to another edition of this title.

About the Authors

Associate Professor Fatima Merchant works at Computer Engineering Technology and Computational Health Informatics in Houston, TX, USA.

Kenneth R. Castleman is the president of Advanced Digital Imaging Research (ADIR), the author of the canonical textbook Digital Image Processing ISBN 0-13-211467-4 and an authority in the field of image processing and pattern recognition. He holds a B.S, M.S. and Ph.D. all in electrical engineering from The University of Texas at Austin. In 1984, he co-founded Perceptive Systems, Inc (PSI) with Don Winkler in League City, TX.

From the Back Cover

Digital image processing is an integral part of microscopy and is increasingly important to the fields of medicine and scientific research. This book provides a unique one-stop reference on the theory, techniques and applications of this technology.

Written by leading experts in the field, the book presents a unique practical perspective of state-of-the-art microscope image processing and the development of specialized algorithms. It contains in-depth analysis of methods coupled with the results of specific real-world experiments, covering topics from image digitization and display, through object measurement and classification, to autofocusing and structured illumination.

Features include:

  • Detailed descriptions of many leading-edge methods and algorithms
  • Each chapter provides in-depth analysis of the method and experimental results from real-life examples
  • Emphasis upon computational and algorithmic aspects of microscope image processing
  • Advanced material on geometric, morphological and wavelet image processing; fluorescence, three-dimensional and time-lapse microscopy; microscope image enhancement; MultiSpectral imaging and image data management.

This book will be of interest to all scientists, engineers, clinicians, post-graduate fellows and graduate students working in the fields of biology, medicine, chemistry, pharmacology and related fields, who use microscopes in their work and would like to understand the methodologies and capabilities of the latest digital image processing techniques.

"About this title" may belong to another edition of this title.