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Image Processing Toolbox 6.4

Learn more about Image Processing Toolbox through product demos and online seminars that highlight features or application examples.
 

Introductory


  Introduction to the Image Processing Toolbox 
 

Deblurring


  Deblurring Images Using a Regularized Filter 

  Deblurring Images Using the Blind Deconvolution Algorithm 

  Deblurring Images Using the Lucy-Richardson Algorithm 

  Deblurring Images Using the Wiener Filter 
 

Enhancement


  Contrast Enhancement Techniques 

  Correcting Nonuniform Illumination 

  Enhancing Multispectral Color Composite Images 
 

Image Arithmetic


  Alpha Blending Streamed Image Pairs 
 

Image Registration


  Finding the Rotation and Scale of a Distorted Image 

  Registering an Aeriel Photo to an Orthophoto 

  Registering an Image Using Normalized Cross-Correlation 
 

Spatial Transformation


  Creating a Gallery of Transformed Images 

  Exploring a Conformal Mapping 

  Exploring Slices from a 3-Dimensional MRI Data Set 

  Padding and Shearing an Image Simultaneously 
 

Measuring Image Features


  Finding the Length of a Pendulum in Motion 

  Granulometry of Snowflakes 

  Identifying Round Objects 

  Measuring Angle of Intersection 

  Measuring Regions in Grayscale Images   New

  Measuring the Radius of a Roll of Tape 
 

Image Segmentation


  Batch Processing Image Files in Parallel 

  Color-Based Segmentation with Live Image Acquisition   New

  Color-Based Segmentation Using K-Means Clustering 

  Color-Based Segmentation Using the L*a*b* Color Space 

  Detecting a Cell Using Image Segmentation 

  Detecting Cars in a Video of Traffic 

  Finding Vegetation in a Multispectral Image 

  Marker-Controlled Watershed Segmentation 

  Texture Segmentation Using Texture Filters 
 

Transforms


  Reconstructing an Image from Projection Data 

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