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

• 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

• Image Deblurring

• Neighborhood and Block Operations

• Release Notes

Learn more about Image Processing Toolbox

Analyzing and Enhancing Images

This chapter describes functions that support a range of standard image processing operations for analyzing and enhancing images.

Lookup Table Operations

Lookup Table Operations

Getting Information about Image Pixel Values and Image Statistics

Getting Information about Image Pixel Values and Image Statistics

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