Tutorial

This tutorial will help you to learn VIGRA's most important concepts by means of simple examples. The tutorial consists of the following parts:

• Multi-Dimensional Arrays
     VIGRA's most important data structure

  • Basic MultiArray Usage
  • Array Indexing via Coordinates
  • One-dimensional Indexing and Scan-Order Iterator
  • Important MultiArray Methods
    • The MultiArrayView Interface
    • subarray(p,q)
    • bind<M>(i) and bindAt(M, i)
    • expandElements(k) and bindElementChannel(i)
    • transpose()
    • isUnstrided(k)

• Mathematics with Multi-Dimensional Arrays
     mathematical operations on MultiArrays

  • Array Expressions
  • Linear Algebra
  • STL-style transformation algorithms
  • Feature Accumulators

• Image Input and Output
     importing and exporting images and arbitrary-dimensional arrays

  • Two-Dimensional Images
  • Higher Dimensional Arrays

• Image Processing
     basic applications of VIGRA's functions

  • Calling Conventions
  • Inverting an Image
  • Image Blending
  • Creating a Composite Image
  • Smoothing
    • 2-dimensional Convolution
    • Separable Convolution in 2D and nD Images
    • Parallel Execution of Gaussian Filters

• Image Segmentation
     extracting meaningful regions from pixels

  • Computing Superpixels
  • Constructing the Region Adjacency Graph and its Feature Maps
  • Perform Hierarchical Clustering

• Writing your own Functions
     ... without getting confused by templates

• VIGRA Python Bindings
     scripting with VIGRA made easy