Key Features

  Introduction

  Step 1: Read and Display an Image

  Step 2: Check How the Image Appears in the Workspace

  Step 3: Improve Image Contrast

  Step 4: Write the Image to a Disk File

  Step 5: Check the Contents of the Newly Written File

  Introduction

  Step 1: Read Image

  Step 2: Use Morphological Opening to Estimate the Background

  Step 3: View the Background Approximation as a Surface

  Step 4: Subtract the Background Image from the Original Image

  Step 5: Increase the Image Contrast

  Step 6: Threshold the Image

  Step 7: Identify Objects in the Image

  Step 8: Examine One Object

  Step 9: View All Objects

  Step 10: Compute Area of Each Object

  Step 11: Compute Area-based Statistics

  Step 12: Create Histogram of the Area

  Product Documentation

  Image Processing Demos

  MATLAB Newsgroup

  Images in MATLAB

• Expressing Image Locations

• Image Types in the Toolbox

  Converting Between Image Types

• Converting Between Image Classes

• Working with Image Sequences

• Image Arithmetic

  Getting Information About a Graphics File

  Reading Image Data

• Writing Image Data to a File

  Converting Between Graphics File Formats

• Working with DICOM Files

  Working with Mayo Analyze 7.5 Files

  Working with Interfile Files

• Working with High Dynamic Range Images

  Overview

• Displaying Images Using the imshow Function

• Using the Image Tool to Explore Images

• Exploring Very Large Images

• Using Image Tool Navigation Aids

• Getting Information about the Pixels in an Image

• Measuring the Distance Between Two Pixels

  Getting Information About an Image Using the Image Information Tool

• Adjusting Image Contrast Using the Adjust Contrast Tool

  Cropping an Image Using the Crop Image Tool

• Viewing Image Sequences

• Displaying Different Image Types

  Adding a Colorbar to a Displayed Image

• Printing Images

• Setting Toolbox Preferences

  Overview

  Displaying the Target Image

• Creating the Modular Tools

• Customizing Modular Tool Interactivity

• Creating Your Own Modular Tools

• Resizing an Image

  Rotating an Image

  Cropping an Image

• Performing General 2-D Spatial Transformations

  Performing N-Dimensional Spatial Transformations

• Example: Performing Image Registration

  Overview of Image Registration Techniques

• Control Point Registration

  Geometric Transformation Types

• Selecting Control Points

  Using Correlation to Improve Control Points

  Intensity-Based Automatic Image Registration

  Registering Multimodal MRI Images

• Designing and Implementing Linear Filters in the Spatial Domain

• Designing Linear Filters in the Frequency Domain

• Fourier Transform

• Discrete Cosine Transform

• Radon Transform

• The Inverse Radon Transformation

• Fan-Beam Projection Data

• Morphology Fundamentals: Dilation and Erosion

• Morphological Reconstruction

  Distance Transform

• Labeling and Measuring Objects in a Binary Image

• Lookup Table Operations

• Getting Information about Image Pixel Values and Image Statistics

• Analyzing Images

• Analyzing the Texture of an Image

• Adjusting Pixel Intensity Values

• Removing Noise from Images

• Specifying a Region of Interest (ROI)

• Filtering an ROI

  Filling an ROI

• Understanding Deblurring

• Deblurring with the Wiener Filter

• Deblurring with a Regularized Filter

• Deblurring with the Lucy-Richardson Algorithm

• Deblurring with the Blind Deconvolution Algorithm

  Creating Your Own Deblurring Functions

  Avoiding Ringing in Deblurred Images

  Displaying Colors

• Reducing the Number of Colors in an Image

• Converting Color Data Between Color Spaces

  Neighborhood or Block Processing: An Overview

• Performing Sliding Neighborhood Operations

• Performing Distinct Block Operations

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

  Supported Functions