Image Processing Toolbox - Documentation

Contents

Index

• Getting Started

• Introduction

• Reading and Writing Image Data

• Displaying and Exploring Images

• Displaying Images Using the imshow Function

Specifying the Initial Image Magnification

Controlling the Appearance of the Figure

Displaying Each Image in a Separate Figure

Displaying Multiple Images in the Same Figure

• Using the Image Tool to Explore Images

Image Tool Overview

Opening the Image Tool

Specifying the Initial Image Magnification

Specifying the Colormap

Importing Image Data from the Workspace

Exporting Image Data to the Workspace

Saving the Image Data Displayed in the Image Tool

Closing the Image Tool

Printing the Image in the Image Tool

• Exploring Very Large Images

Creating an R-Set File

Opening an R-Set File

• Using Image Tool Navigation Aids

Navigating an Image Using the Overview Tool

Panning the Image Displayed in the Image Tool

Zooming In and Out on an Image in the Image Tool

Specifying the Magnification of the Image

• Getting Information about the Pixels in an Image

Determining the Value of Individual Pixels

Determining the Values of a Group of Pixels

Determining the Display Range of an Image

• Measuring the Distance Between Two Pixels

Using the Distance Tool

Exporting Endpoint and Distance Data

Customizing the Appearance of the Distance Tool

Getting Information About an Image Using the Image Information Tool

• Adjusting Image Contrast Using the Adjust Contrast Tool

Understanding Contrast Adjustment

Starting the Adjust Contrast Tool

Using the Histogram Window to Adjust Image Contrast

Using the Window/Level Tool to Adjust Image Contrast

Modifying Image Data

Cropping an Image Using the Crop Image Tool

• Viewing Image Sequences

Viewing Image Sequences in the Movie Player

Viewing Image Sequences as a Montage

Converting a Multiframe Image to a Movie

• Displaying Different Image Types

Displaying Indexed Images

Displaying Grayscale Images

Displaying Binary Images

Displaying Truecolor Images

Adding a Colorbar to a Displayed Image

• Printing Images

Printing and Handle Graphics Object Properties

• Setting Toolbox Preferences

Viewing and Changing Preferences Using the Preferences Dialog Box

Retrieving the Values of Toolbox Preferences Programmatically

Setting the Values of Toolbox Preferences Programmatically

• Building GUIs with Modular Tools

Displaying the Target Image

• Creating the Modular Tools

Associating Modular Tools with a Particular Image

Getting the Handle of the Target Image

Specifying the Parent of a Modular Tool

Positioning the Modular Tools in a GUI

Example: Building a Pixel Information GUI

Adding Navigation Aids to a GUI

• Customizing Modular Tool Interactivity

Example: Building an Image Comparison Tool

• Creating Your Own Modular Tools

Example: Creating an Angle Measurement Tool

• Spatial Transformations

• Image Registration

• Registering an Image

Using cpselect in a Script

Example: Registering to a Digital Orthophoto

Transformation Types

• Selecting Control Points

Specifying Control Points Using the Control Point Selection Tool

Starting the Control Point Selection Tool

Using Navigation Tools to Explore the Images

Specifying Matching Control Point Pairs

Exporting Control Points to the Workspace

Using Correlation to Improve Control Points

• Designing and Implementing 2-D Linear Filters for Image Data

• Designing and Implementing Linear Filters in the Spatial Domain

Performing Linear Filtering of Images Using imfilter

Filtering an Image with Predefined Filter Types

• Designing Linear Filters in the Frequency Domain

Frequency Transformation Method

Frequency Sampling Method

Windowing Method

Creating the Desired Frequency Response Matrix

Computing the Frequency Response of a Filter

• Morphological Operations

• Analyzing and Enhancing Images

• Getting Information about Image Pixel Values and Image Statistics

Getting Image Pixel Values Using impixel

Creating an Intensity Profile of an Image Using improfile

Displaying a Contour Plot of Image Data

Creating an Image Histogram Using imhist

Getting Summary Statistics About an Image

Computing Properties for Image Regions

• Analyzing Images

Detecting Edges Using the edge Function

Tracing Object Boundaries in an Image

Detecting Lines Using the Hough Transform

Analyzing Image Homogeneity Using Quadtree Decomposition

• Analyzing the Texture of an Image

Understanding Texture Analysis

Using Texture Filter Functions

Using a Gray-Level Co-Occurrence Matrix (GLCM)

• Adjusting Pixel Intensity Values

Understanding Intensity Adjustment

Adjusting Intensity Values to a Specified Range

Adjusting Intensity Values Using Histogram Equalization

Adjusting Intensity Values Using Contrast-Limited Adaptive Histogram Equalization

Enhancing Color Separation Using Decorrelation Stretching

• Removing Noise from Images

Understanding Sources of Noise in Digital Images

Removing Noise By Linear Filtering

Removing Noise By Median Filtering

Removing Noise By Adaptive Filtering

• ROI-Based Processing

• Specifying a Region of Interest (ROI)

Overview of ROI Processing

Creating a Binary Mask

Creating an ROI Without an Associated Image

Creating an ROI Based on Color Values

• Filtering an ROI

Overview of ROI Filtering

Filtering a Region in an Image

Specifying the Filtering Operation

• Image Deblurring

Displaying Colors

• Reducing the Number of Colors in an Image

Reducing Colors Using Color Approximation

Reducing Colors Using imapprox

• Converting Color Data Between Color Spaces

Understanding Color Spaces and Color Space Conversion

Converting Between Device-Independent Color Spaces

Performing Profile-Based Color Space Conversions

Converting Between Device-Dependent Color Spaces

• Neighborhood and Block Operations

Neighborhood or Block Processing: An Overview

• Performing Sliding Neighborhood Operations

Understanding Sliding Neighborhood Processing

Implementing Linear and Nonlinear Filtering as Sliding Neighborhood Operations

• Performing Distinct Block Operations

Understanding Distinct Block Processing

Implementing Block Processing Using the blockproc Function

Specifying a Border

Block Size and Performance

• Using Columnwise Processing to Speed Up Sliding Neighborhood or Distinct Block Operations

Understanding Columnwise Processing

Using Column Processing with Sliding Neighborhood Operations

Using Column Processing with Distinct Block Operations

• Release Notes

Image Processing Toolbox roadmap
page

	Functions:
	By Category
	Alphabetical List



	Documentation Set

	Getting Started
	Introduces Image Processing Toolbox and gets you started using it

	User's Guide
	Provides tutorials and comprehensive information about Image Processing Toolbox

	Examples in Documentation
	Lists major examples in the Image Processing Toolbox documentation



	Product Demos

	Image Processing Toolbox Demos
	Presents a collection of demos that you can run from the Help browser to help you learn the product



	What's New

	Release Notes
	Summarizes new features, bug fixes, upgrade issues, etc.



	Printable (PDF) Documentation on the Web

PDF documents reflect the most recent version of Image Processing Toolbox and might describe features not available in earlier versions of the software.
	Image Processing Toolbox User's Guide
	Image Processing Toolbox Release Notes

The MathWorks Web Site Resources

	Demos
	MATLAB Central
	Product Page
	Platforms & Requirements

	Related Books
	Related Products
	Technical Support

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