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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

• 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

Detecting Corners Using the corner 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

• Code Generation for Image Processing Toolbox Functions

• Release Notes

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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