Contents

Index

• Getting Started

• 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

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

Learn more about Image Processing Toolbox

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

Recommended Products

Get MATLAB trial software

Includes the most popular MATLAB recorded presentations with Q&A sessions led by MATLAB experts.

Get the Interactive Kit

© 1984-2009- The MathWorks, Inc. - Site Help - Patents - Trademarks - Privacy Policy - Preventing Piracy - RSS