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Image Analysis of Food Microstructure

John C Russ 
CRC press  2004  



Hardback  384pp  ISBN 9780849322419      £121.00
  • Provides a roadmap to the required steps and sequences of image analysis
  • Includes more than 200 images of food microstructures to illustrate types of analyses
  • Matches the structures to appropriate image processing and measurement tools for the characterization of those structures
  • Offers guidance on commercially available software and equipment
  • Includes a special discount offer on professional image analysis tools from Reindeer Graphics

Image Analysis of Food Microstructure offers a condensed guide to the most common procedures and techniques by which quantitative microstructural information about food can be obtained from images. The images are selected from a broad range of food items, including macroscopic images of meat and finished products such as pizza, and the microstructures of cheeses, dough and baked goods, ice cream, fruits and vegetables, emulsions, foams, and gels.

The book informs food scientists about the image processing and measurement tools used to characterize a variety of microstructures in foods, using high-quality image techniques to illustrate chemical composition, thermo-mechanical processing, and genetic and structural properties. These different types of images used to measure various aspects of structure include: macroscopic light photography, confocal light microscopy, electron microscopy, atomic force microscope images, magnetic resonance, and computed tomography. Then the text explains how to interpret images to produce data, plot the results in different graphs, and identify trends. Examples using these image analysis techniques show typical results that researchers can expect and recreate.

Image Analysis of Food Microstructure summarizes the basic procedures that can be useful in various aspects of food research, from nutraceuticals to cooking and food processing. It presents the processing of images and mathematical principles needed for image analyses in a step-by-step approach to extract key information from the images obtained.

Contents

INTRODUCTION

STEREOLOGY
The need for stereology
Unfolding size distribution
Volume fraction
Surface area
Design of experiments
Topological properties
Other stereological techniques

IMAGE ACQUISITION
Scanners
Digital cameras
Scanning microscopes
File formats
Color adjustment
Color space coordinates
Color channels
Optimum image contrast
Removing noise
Nonuniform illumination
Image distortion and focus

PROCESSING AND ENHANCEMENT
Improving local contrast
Image sharpening
Rank-based filters
Edge finding
Texture
Directionality
Finding features in images
Image combinations
Thresholding
Automatic threshold settings using the histogram
Automatic threshold settings using the image
Other thresholding approaches
Color image thresholding
Manual marking

BINARY IMAGES
Erosion and dilation
The Euclidean distance map
Separating touching features
Boolean combinations
Using grids for measurement
Using markers to select features
Combined Boolean operations
Region outlines as selection criteria
Skeletonization
Fiber images
Skeletons and feature shape
Measuring distance and location with the EDM
Summary

FEATURE MEASUREMENT
Counting
Size measurement
Size distributions
Comparisons
Edge correction
Brightness and color measurement
Location
Gradients
Shape
Identification
Conclusions

COLOR PLATES (insert)

To find similar publications, click on a keyword below:
CRC Press : analytical methods : food science : image analysis : modelling, computer & mathematical

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