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

• 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

• ROI-Based Processing

• Image Deblurring

• Neighborhood and Block Operations

• Release Notes

Learn more about Image Processing Toolbox

Designing and Implementing 2-D Linear Filters for Image Data

The Image Processing Toolbox software provides a number of functions for designing and implementing two-dimensional linear filters for image data. This chapter describes these functions and how to use them effectively.

Using Correlation to Improve Control Points

Using Correlation to Improve Control Points

Designing and Implementing Linear Filters in the Spatial Domain

Designing and Implementing Linear Filters in the Spatial Domain

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