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B11 program

The aim of B11 program is to transform and/or classify the data (image texture features) obtained from MaZda software. Andrzej Materka wrote its source code. The program was written in Object Pascal and was compiled using Delphi 6 Inprise package. It works under Microsoft Windows 9x/NT/2k/XP operating systems.

B11 program is used for two main tasks:

  • Feature reduction through linear and nonlinear transformations
  • Data visualization
  • Data classification

B11 provides feature projection by converting the input data space to a new space, with reduced number of dimensions. Program displays both input and converted data in a form of a graph.

The following data processing procedures are implemented in B11:

  • Principal Component Analysis (PCA)
  • Linear Discriminant Analysis (LDA)
  • Non-linear Discriminant Analysis (NDA)

B11 allows also feature vector classification, and evaluation of the usefulness of texture features calculated using MaZda to discrimination of different texture class - present in image regions. For data classification, the following classifiers are implemented:

  • Nearest neighbour classifier (1-NN)
  • Artificial neural network classifier (ANN)

Neural networks of the architecture defined during training can be tested using data sets composed offeature vectors calculated for images not used for the training.

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