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R2012a Documentation → Image Processing Toolbox
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Contents

Index

• Getting Started

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

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

• User's Guide

• Introduction

• Reading and Writing Image Data

• Displaying and Exploring Images

• Building GUIs with Modular Tools

• Spatial Transformations

• Image Registration

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

• Morphological Operations

• Analyzing and Enhancing Images

• ROI-Based Processing

• Image Deblurring

• 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

Applying Padding

Block Size and Performance

Using Parallel Block Processing on large Image Files

Working with Data in Unsupported Formats

• 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

• Code Generation for Image Processing Toolbox Functions

• Release Notes

Neighborhood and Block Operations

This chapter discusses these generic block processing functions. Topics covered include

Converting Color Data Between Color Spaces

Converting Color Data Between Color Spaces

Neighborhood or Block Processing: An Overview

Neighborhood or Block Processing: An Overview

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