Image Analysis of Food Microstructure: 1st Edition (Hardback) book cover

Image Analysis of Food Microstructure

1st Edition

By John C. Russ

CRC Press

384 pages | 29 Color Illus. | 700 B/W Illus.

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Hardback: 9780849322419
pub: 2004-11-15
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pub: 2004-11-15
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Description

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.

Table of 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)

About the Originator

Author

John Russ

Raleigh, North Carolina, USA

Learn more about John Russ >>

Subject Categories

BISAC Subject Codes/Headings:
TEC012000
TECHNOLOGY & ENGINEERING / Food Science