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What is HIPR?

Description

The Hypermedia Image Processing Reference (HIPR) was developed at the Department of Artificial Intelligence in the University of Edinburgh in order to provide a set of computer-based tutorial materials for use in taught courses on image processing and machine vision.

The package provides on-line reference and tutorial information on a wide range of image processing operations, extensively illustrated with actual digitized images, and bound together in a hypermedia format for easy browsing, searching and cross-referencing. Amongst the features offered by HIPR are:

Motivations

The motivation behind HIPR is to bridge the gap between image processing textbooks which provide good technical detail, but do not generally provide very high quality or indeed very many example images; and image processing software packages which readily provide plenty of interactivity with real images and real computers, but often lack much in the way of a tutorial component.

By providing example input and output images for all the image processing operations covered, and making these easily available to the student through the use of hypermedia, HIPR presents image processing in a much more `hands on' fashion than is traditional. It is the authors' belief that this approach is essential for gaining real understanding of what can be done with image processing. In addition, the use of hypertext structure allows the reference to be efficiently searched, and cross-references can be followed at the click of a mouse button. Since the package can easily be provided over a local area network, the information is readily available at any suitably equipped computer connected to that network.

Another important goal of the package was that it should be usable by people using almost any sort of computer platform, so much consideration has been given to portability issues. The package should be suitable for many machine architectures and operating systems, including UNIX workstations, PC/Windows and Apple Macintosh.

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©2003 R. Fisher, S. Perkins, A. Walker and E. Wolfart.

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