Image Analysis of Food Microstructure

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Edition: 1st
Format: Hardcover
Pub. Date: 2004-11-15
Publisher(s): CRC Press
List Price: $267.75

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Summary

Image Analysis of Food Microstructure offers a condensed guide to the most common procedures and techniques by which quantitative microstructural information about food is obtained from images. The book familiarizes the food scientist with the image processing and measurement tools used to characterize a variety of microstructures in foods. Using different types of images of food microstructure to quantify various aspects of structure, this book explains how to interpret images to produce data, plot the results in different graphs, and identify trends. This book summarizes the basic procedures that can be useful in various aspects of food research, from nutraceuticals to food processing.

Table of Contents

Chapter 1 Stereology 1(50)
The Need for Stereology
1(4)
Unfolding Size Distributions
5(6)
Volume Fraction
11(10)
Surface Area
21(7)
Lines and Points
28(3)
Design of Experiments
31(3)
Topological Properties
34(7)
Other Stereological Techniques
41(10)
Chapter 2 Image Acquisition 51(78)
Scanners
51(6)
Digital Cameras
57(6)
Scanning Microscopes
63(4)
File Formats
67(4)
Color Adjustment
71(6)
Color Space Coordinates
77(4)
Color Channels
81(5)
Optimum Image Contrast
86(12)
Removing Noise
98(13)
Nonuniform Illumination
111(10)
Image Distortion and Focus
121(6)
Summary
127(2)
Chapter 3 Image Enhancement 129(84)
Improving Local Contrast
131(4)
Image Sharpening
135(7)
False Color and Surface Rendering
142(3)
Rank-Based Filters
145(2)
Edge-Finding
147(9)
Texture
156(8)
Directionality
164(5)
Finding Features in Images
169(6)
Image Combinations
175(9)
Thresholding
184(5)
Automatic Threshold Settings Using the Histogram
189(8)
Automatic Thresholding Using the Image
197(3)
Other Thresholding Approaches
200(5)
Color Image Thresholding
205(4)
Manual Marking
209(2)
Summary
211(2)
Chapter 4 Binary Images 213(64)
Erosion and Dilation
213(6)
The Euclidean Distance Map
219(4)
Separating Touching Features
223(13)
Boolean Combinations
236(4)
Using Grids for Measurement
240(7)
Using Markers to Select Features
247(3)
Combined Boolean Operations
250(2)
Region Outlines as Selection Criteria
252(2)
Skeletonization
254(6)
Fiber Images
260(2)
Skeletons and Feature Shape
262(1)
Measuring Distances and Locations with the EDM
263(12)
Summary
275(2)
Chapter 5 Measuring Features 277(84)
Counting
277(10)
Calibration
287(5)
Size Measurement
292(5)
Size Distributions
297(4)
Comparisons
301(2)
Edge Correction
303(7)
Brightness and Color Measurements
310(6)
Location
316(8)
Gradients
324(18)
Shape
342(8)
Identification
350(9)
Conclusions
359(2)
Index 361

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