Applied Image Analysis

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Image analysis is one of the fastest growing areas in applied statistics. Featuring applications in medicine, biology, genetics, materials science, and engineering, Applied Image Analysis bridges the gap between introductory texts and overly technical statistics books. Written for applied statisticians, engineers, and computer scientists, it covers the most appropriate techniques for carrying out applied quantitative image analysis, including two-D black and white, color, and multispectral imaging. The book features real-world analyses that illustrate many techniques as they are introduced, as well as methods for combining techniques to perform a complete analysis.
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Product details

  • Hardback | 304 pages
  • 152 x 229mm
  • Taylor & Francis Ltd
  • Chapman & Hall/CRC
  • United States
  • English
  • 1584881992
  • 9781584881995

Table of contents

Introduction. Image Representations and Visualization. Filtering. Fundamental Segmentation Techniques. Advanced Segmentation Techniques. Special Methods for Color and Multispectral Images. Measurement, Analysis and Inference. Parameter Selection and Performance Assessment. Case Studies.
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