"Color image processing with biomedical applications" - Information and Links:

Color image processing with biomedical applications - Info and Reading Options

"Color image processing with biomedical applications" was published by SPIE Press in 2011 - Bellingham, Wash, it has 402 pages and the language of the book is English.


“Color image processing with biomedical applications” Metadata:

  • Title: ➤  Color image processing with biomedical applications
  • Author:
  • Language: English
  • Number of Pages: 402
  • Publisher: SPIE Press
  • Publish Date:
  • Publish Location: Bellingham, Wash

“Color image processing with biomedical applications” Subjects and Themes:

Edition Specifications:

  • Pagination: xxix, 402 p. :

Edition Identifiers:

AI-generated Review of “Color image processing with biomedical applications”:


"Color image processing with biomedical applications" Table Of Contents:

  • 1- Preface
  • 2- Acknowledgments
  • 3- Symbols and abbreviations
  • 4- 1. The nature and representation of color images
  • 5- 2. Acquisition, creation, and quality control of color images
  • 6- 3. Removal of noise and artifacts
  • 7- 4. Enhancement of color images
  • 8- 5. Segmentation of color images
  • 9- 6. Afterword
  • 10- References
  • 11- Index
  • 12- About the authors.

"Color image processing with biomedical applications" Description:

The Open Library:

Recent advancements in microfabrication technologies and the development of powerful simulation tools have led to a significant expansion of diffractive optics and diffractive optical components. Instrument developers can choose from a broad range of diffractive optics elements to complement refractive and reflective components in achieving a desired control of the optical field. This Field Guide provides the operational principles and established terminology of diffractive optics as well as a comprehensive overview of the main types of diffractive optics components. An emphasis is placed on the qualitative explanation of the diffraction phenomenon by the use of field distributions and graphs, providing the basis for understanding the fundamental relations and important trends.

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