Microscope Image Processing, Second Edition, introduces the basic fundamentals of image formation in microscopy including the importance of image digitization and display, which are key to quality visualization. Image processing and analysis are discussed in detail to provide readers with the tools necessary to improve the visual quality of images, and to extract quantitative information. Basic techniques such as image enhancement, filtering, segmentation, object measurement, and pattern recognition cover concepts integral to image processing. In addition, chapters on specific modern microscopy techniques such as fluorescence imaging, multispectral imaging, three-dimensional imaging and time-lapse imaging, introduce these key areas with emphasis on the differences among the various techniques.
The new edition discusses recent developments in microscopy such as light sheet microscopy, digital microscopy, whole slide imaging, and the use of deep learning techniques for image segmentation and analysis with big data image informatics and management.
Microscope Image Processing, Second Edition, is suitable for engineers, scientists, clinicians, post-graduate fellows and graduate students working in bioengineering, biomedical engineering, 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 or desire to develop their own image processing algorithms and software for specific applications.
1. Chapter One : Introduction - p. Page xvii 2. Chapter Two : Fundamentals of Microscopy - p. Page 8 3. Chapter Three : Image Digitization and Display - p. Page 23 4. Chapter Four : Geometric Transformations - p. Page 44 5. Chapter Five : Image Enhancement - p. Page 53 6. Chapter Six : Morphological Image Processing - p. Page 72 7. Chapter Seven : Image Segmentation - p. Page 115 8. Chapter Eight : Object Measurement - p. Page 149 9. Chapter Nine : Object Classification - p. Page 171 10. Chapter Ten : Multispectral Fluorescence Imaging - p. Page 199 11. Chapter Eleven : Three-Dimensional Imaging - p. Page 241 12. Chapter Twelve : Superresolution Image Processing - p. Page 309 13. Chapter Thirteen : Localization Microscopy - p. Page 331 14. Chapter Fourteen : Motion Tracking and Analysis - p. Page 382 15. Chapter Fifteen : Deep Learning - p. Page 423 16. Chapter Sixteen : Image Informatics - p. Page 448 17. GENERIC-TITLE - p. Page 469 18. Index - p. Page 480
Microscope Image Processing, Second Edition, introduces the basic fundamentals of image formation in microscopy including the importance of image digitization and display, which are key to quality visualization. Image processing and analysis are discussed in detail to provide readers with the tools necessary to improve the visual quality of images, and to extract quantitative information. Basic techniques such as image enhancement, filtering, segmentation, object measurement, and pattern recognition cover concepts integral to image processing. In addition, chapters on specific modern microscopy techniques such as fluorescence imaging, multispectral imaging, three-dimensional imaging and time-lapse imaging, introduce these key areas with emphasis on the differences among the various techniques.
The new edition discusses recent developments in microscopy such as light sheet microscopy, digital microscopy, whole slide imaging, and the use of deep learning techniques for image segmentation and analysis with big data image informatics and management.
Microscope Image Processing, Second Edition, is suitable for engineers, scientists, clinicians, post-graduate fellows and graduate students working in bioengineering, biomedical engineering, 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 or desire to develop their own image processing algorithms and software for specific applications.
1. Chapter One : Introduction - p. Page xvii 2. Chapter Two : Fundamentals of Microscopy - p. Page 8 3. Chapter Three : Image Digitization and Display - p. Page 23 4. Chapter Four : Geometric Transformations - p. Page 44 5. Chapter Five : Image Enhancement - p. Page 53 6. Chapter Six : Morphological Image Processing - p. Page 72 7. Chapter Seven : Image Segmentation - p. Page 115 8. Chapter Eight : Object Measurement - p. Page 149 9. Chapter Nine : Object Classification - p. Page 171 10. Chapter Ten : Multispectral Fluorescence Imaging - p. Page 199 11. Chapter Eleven : Three-Dimensional Imaging - p. Page 241 12. Chapter Twelve : Superresolution Image Processing - p. Page 309 13. Chapter Thirteen : Localization Microscopy - p. Page 331 14. Chapter Fourteen : Motion Tracking and Analysis - p. Page 382 15. Chapter Fifteen : Deep Learning - p. Page 423 16. Chapter Sixteen : Image Informatics - p. Page 448 17. GENERIC-TITLE - p. Page 469 18. Index - p. Page 480
