Bio-imaging : principles, techniques, and applications
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Bibliographic Information
Bio-imaging : principles, techniques, and applications
CRC Press, c2016
- : hardback
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Description and Table of Contents
Description
Highlights the Emergence of Image Processing in Food and Agriculture
In addition to uses specifically related to health and other industries, biological imaging is now being used for a variety of applications in food and agriculture. Bio-Imaging: Principles, Techniques, and Applications fully details and outlines the processes of bio-imaging applicable to food and agriculture, and connects other bio-industries, as well as relevant topics. Due to the noncontact and nondestructive nature of the technology, biological imaging uses unaltered samples, and allows for internal quality evaluation and the detection of defects. Compared to conventional methods, biological imaging produces results that are more consistent and reliable, and can ensure quality monitoring for a variety of practices used in food and agriculture industries as well as many other biological industries. The book highlights every imaging technique available along with their components, image acquisition procedures, advantages, and comparisons to other approaches.
Describes essential components of imaging technique in great detail
Incorporates case studies in appropriate chapters
Contains a wide range of applications from a number of biological fields
Bio-Imaging: Principles, Techniques, and Applications focuses on the imaging techniques for biological materials and the application of biological imaging. This technology, which is quickly becoming a standard practice in agriculture and food-related industries, can aid in enhanced process efficiency, quality assurance, and food safety management overall.
Table of Contents
Introduction to bio-imaging. Image acquisition and processing. Classification: Statistical and neural network. Imaging in the visible spectrum. Hyperspectral imaging. Thermal imaging. X-ray imaging. X-ray computed tomography imaging. Magnetic resonance imaging. Optical coherence tomography imaging. Imaging-based automation in the food and agriculture industry. References.
by "Nielsen BookData"