Design Tools

ICEPak brings you all the tools of statistical pattern recognition, neural networks and fuzzy logic in one package. These methods use a common approach of extracting features from the source image or signal and using them to classify different signals, images or segments of an image into different classes. Feature manipulation, classifier design and testing are all conveniently available under Tools. You don't have to build your own neural nets anymore or work with several packages to manipulate features or put together bits and pieces of the statistical or neural classifiers. You can also evaluate the performance of the classifiers available in your application. Why use a neural network if a simple statistical classifier will do the job better?

ICEPak has a number of design tools to assist in developing classifiers. It has five types of industrially proven classifiers. For signal classification, six predefined feature sets have been developed over many successful applications worked out with ICEPak users. For other applications such as image interpretation, an operator defined feature set can be used.