| Image Processing Toolbox |
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- What Is the Image Processing Toolbox?
- Related Products
- Configuration Notes
- About the Documentation
- Structure of the Documentation
- Image Credits
- Terminology
- MATLAB Newsgroup
- Typographical Conventions
- Image Processing Demos
- Example 1 -- Some Basic Topics
- 1. Read and Display an Image
- 2. Check the Image in Memory
- 3. Perform Histogram Equalization
- 4. Write the Image
- 5. Check the Contents of the Newly Written File
- Example 2 -- Advanced Topics
- 1. Read and Display an Image
- 2. Use Morphological Opening to Estimate the Background
- 3. Display the Background Approximation as a Surface
- 4. Subtract the Background Image from the Original Image
- 5. Adjust the Image Contrast
- 6. Apply Thresholding to the Image
- 7. Determine the Number of Objects in the Image
- 8. Examine the Label Matrix
- 9. Measure Object Properties in the Image
- 10. Compute Statistical Properties of Objects in the Image
- Where to Go from Here
- Online Help
- Toolbox Demos
- Terminology
- Images in MATLAB and the Image Processing Toolbox
- Storage Classes in the Toolbox
- Image Types in the Toolbox
- Indexed Images
- Intensity Images
- Binary Images
- RGB Images
- Multiframe Image Arrays
- Summary of Image Types and Numeric Classes
- Converting Image Types
- Working with Image Data
- Reading a Graphics Image
- Writing a Graphics Image
- Querying a Graphics File
- Converting Image Storage Classes
- Converting Graphics File Formats
- Image Arithmetic
- Summary of Image Arithmetic Functions
- Image Arithmetic Truncation Rules
- Adding Images
- Subtracting Images
- Multiplying Images
- Dividing Images
- Nesting Calls to Image Arithmetic Functions
- Coordinate Systems
- Pixel Coordinates
- Spatial Coordinates
- Terminology
- Displaying Images
- Displaying Indexed Images
- Displaying Intensity Images
- Displaying Binary Images
- Displaying RGB Images
- Displaying Images Directly from Disk
- Special Display Techniques
- Adding a Colorbar
- Displaying Multiframe Images
- Displaying Multiple Images
- Setting Toolbox Display Preferences
- Toolbox Preferences
- Using the truesize Function
- Zooming in on a Region of an Image
- Zooming In or Out with the Zoom Buttons
- Zooming In or Out from the Command Line
- Texture Mapping
- Printing Images
- Troubleshooting
- Terminology
- Interpolation
- Image Types
- Image Resizing
- Specifying the Size of the Output Image
- Specifying the Interpolation Method
- Using Filters to Prevent Aliasing
- Image Rotation
- Specifying the Interpolation Method
- Specifying the Size of the Output Image
- Image Cropping
- Performing General Spatial Transformations
- Specifying the Transformation Type
- Performing the Transformation
- Advanced Spatial Transformation Techniques
- Terminology
- Registering an Image
- Point Mapping
- Example: Registering to a Digital Orthophoto
- Types of Supported Transformations
- Selecting Control Points
- Using the Control Point Selection Tool
- Starting the Control Point Selection Tool
- Viewing the Images
- Specifying Matching Control Point Pairs
- Saving Control Points
- Using Correlation to Improve Control Points
- Terminology
- Block Processing Operations
- Types of Block Processing Operations
- Sliding Neighborhood Operations
- Padding Borders
- Linear and Nonlinear Filtering
- Distinct Block Operations
- Overlap
- Column Processing
- Sliding Neighborhoods
- Distinct Blocks
- Terminology
- Linear Filtering
- Convolution
- Correlation
- Filtering Using imfilter
- Using Predefined Filter Types
- Filter Design
- FIR Filters
- Frequency Transformation Method
- Frequency Sampling Method
- Windowing Method
- Creating the Desired Frequency Response Matrix
- Computing the Frequency Response of a Filter
- Terminology
- Fourier Transform
- Definition of Fourier Transform
- Discrete Fourier Transform
- Applications
- Discrete Cosine Transform
- The DCT Transform Matrix
- The DCT and Image Compression
- Radon Transform
- Using the Radon Transform to Detect Lines
- The Inverse Radon Transform
- Terminology
- Dilation and Erosion
- Understanding Dilation and Erosion
- Structuring Elements
- Dilating an Image
- Eroding an Image
- Combining Dilation and Erosion
- Dilation- and Erosion-Based Functions
- Morphological Reconstruction
- Marker and Mask
- Pixel Connectivity
- Flood-Fill Operations
- Finding Peaks and Valleys
- Distance Transform
- Example: Marker-Controlled Watershed Segmentation
- Step 1: Read in Images
- Step 2: Create the Structuring Element
- Step 3: Enhance the Image Contrast
- Step 4: Exaggerate the Gaps Between Objects
- Step 5: Convert Objects of Interest
- Step 6: Detect Intensity Valleys
- Step 7: Watershed Segmentation
- Step 8: Extract Features from Label Matrix
- Objects, Regions, and Feature Measurement
- Connected-Component Labeling
- Selecting Objects in a Binary Image
- Finding the Area of Binary Images
- Finding the Euler Number of a Binary Image
- Lookup Table Operations
- Terminology
- Pixel Values and Statistics
- Pixel Selection
- Intensity Profile
- Image Contours
- Image Histogram
- Summary Statistics
- Region Property Measurement
- Image Analysis
- Edge Detection
- Quadtree Decomposition
- Image Enhancement
- Intensity Adjustment
- Noise Removal
- Terminology
- Specifying a Region of Interest
- Selecting a Polygon
- Other Selection Methods
- Filtering a Region
- Filling a Region
- Terminology
- Understanding Deblurring
- Causes of Blurring
- Deblurring Model
- Using the Deblurring Functions
- Deblurring with the Wiener Filter
- Deblurring with a Regularized Filter
- Deblurring with the Lucy-Richardson Algorithm
- Deblurring with the Blind Deconvolution Algorithm
- Creating Your Own Deblurring Functions
- Avoiding Ringing in Deblurred Images
- Terminology
- Working with Different Screen Bit Depths
- Determining Your Systems Screen Bit Depth
- Choosing a Screen Bit Depth
- Reducing the Number of Colors in an Image
- Using rgb2ind
- Reducing Colors in an Indexed Image
- Dithering
- Converting to Other Color Spaces
- NTSC Color Space
- YCbCr Color Space
- HSV Color Space
- Functions -- By Category
- Image Input, Output, and Display
- Spatial Transformation and Registration
- Image Analysis and Statistics
- Image Enhancement and Restoration
- Linear Filtering and Transforms
- Morphological Operations
- Region-Based, Neighborhood, and Block Processing
- Colormap and Color Space Functions
- Miscellaneous Functions
- Functions -- Alphabetical List
| | Preface | |