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Applications and Innovations in Intelligent Systems XIII: by Tom M. van Engers (auth.), Professor Ann Macintosh BSc, PDF

By Tom M. van Engers (auth.), Professor Ann Macintosh BSc, CEng, Richard Ellis BSc, MSc, Dr Tony Allen PhD (eds.)

ISBN-10: 1846282233

ISBN-13: 9781846282232

ISBN-10: 1846282241

ISBN-13: 9781846282249

The papers during this quantity are the refereed software papers awarded at AI-2005, the Twenty-fifth SGAI foreign convention on cutting edge suggestions and functions of synthetic Intelligence, held in Cambridge in December 2005.

The papers during this quantity current new and leading edge advancements within the box, divided into sections on utilized AI in info Processing, suggestions for utilized AI, business purposes and clinical Applications.

This is the 13th quantity within the functions and techniques sequence. The sequence serves as a key reference as to how AI know-how has enabled businesses to resolve advanced difficulties and achieve major company benefit.

The Technical flow papers are released as a better half quantity below the identify examine and improvement in clever structures XXII.

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Additional info for Applications and Innovations in Intelligent Systems XIII: Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2005

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The same holds true for the images produced by Neuquant. Here the most obvious artefact is the absence of an appropriate red colour in the colour palette. A far better result is achieved by the Octree algorithm, although here also the red is not very accurate and the colour of the cue is greenish instead of brown. Clearly the best image quality is maintained by applying our hybrid Simulated annealing technique. Although the colour palette has only 16 entries all colours of the original image are accurately presented including the red ball and the colour of the billiard cue.

Octree quantisation [3]: The colour space is represented as an octree where sub-branches are successively merged to form the palette. - Neuquant [2]: A one-dimensional self-organising Kohonen neural network is applied to generate the colour map. For all algorithms, pixels in the quantised images were assigned to their nearest neighbours in the colour palette to provide the best possible image quality. The results are listed in Table 1, expressed in terms of peak-signal-to-noiseratio (PSNR) defined as 2552 P S N R ( / i , / 2 ) = 101ogio MSE{hj2) (6) with MSB (the mean-squared error) given as - n m <=i j = i (7) where R{i,j), G{i,j)j and B{i,j) are the red, green, and blue pixel values at location (z, j ) and n and m are the dimensions of the images.

Y. Davidor. Epistasis variance: Suitability of a representation to genetic algorithms. Complex Systems, 4:369-383, 1990. 2. H. Dekker. Kohonen neural networks for optimal colour quantization. Network: Computation in Neural Systems, 5:351-367, 1994. 3. M. Gervautz and W. Purgathofer. A simple method for color quantization: Octree quantization. S. Glassner, editor, Graphics Gems, pages 287-293. 1990. 4. P. S. Heckbert. Color image quantization for frame buffer display. ACM Com,puter Graphics (ACM SIGGRAPH '82 Proceedings), 16(3):297-307, 1982.

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Applications and Innovations in Intelligent Systems XIII: Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2005 by Tom M. van Engers (auth.), Professor Ann Macintosh BSc, CEng, Richard Ellis BSc, MSc, Dr Tony Allen PhD (eds.)


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