By Dirk Woitha, Dietmar Janich (auth.), Andreas Dengel, Markus Junker, Anette Weisbecker (eds.)
ISBN-10: 3540219048
ISBN-13: 9783540219040
ISBN-10: 3540246428
ISBN-13: 9783540246428
The quantities of knowledge which are ?ooding humans either on the place of work and in deepest existence have elevated dramatically long ago ten years. The variety of paper records doubles each 4 years, and the volume of knowledge saved on all info vendors each six years. New wisdom, even if, raises at a significantly decrease price. chances for computerized content material acceptance in a number of media and for the processing of records are for this reason changing into extra vital on a daily basis. particularly in financial phrases, the e?cient dealing with of data, i.e., ?- ing the perfect details on the correct time, is a useful source for any company, however it is especially very important for small- and medium-sized ent- prises. the marketplace for rfile administration structures, which in Europe had a quantity of roughly five billion euros in 2000, increases significantly over the following few years. The BMBF well-known this improvement at an early level. As early as in 1995, it pooled nationwide features during this ?eld in an effort to aid examine at the computerized processing of knowledge in the framework of a giant collaborative venture (READ) concerning either business businesses and examine centres. overview of the implications resulted in the realization that study paintings were winning, and, in a moment part, investment used to be supplied for the colla- rative follow-up venture Adaptive learn from 1999 to 2003. The of entirety of thesetwoimportantlong-termresearchprojectshascontributedsubstantiallyto enhancing the chances of content material popularity and processing of handwritten, published and digital documents.
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Extra info for Reading and Learning: Adaptive Content Recognition
Example text
The image acquisition and display system (Fig. 1) employs the JPEG compression procedure. This procedure features [4]: • • • high data compression factors different screen formats and different brightness resolutions (PCM quantizer levels) are supported progressive transmission (reconstruction quality improves as transmission progresses) The JPEG compression procedure is used in a host of commercial image processing systems, for example, digital fixed image cameras and planetary scanners with integrated compression.
Fig. 15. Associative memory for correcting compression errors The solution with the associative memory is explained according to Fig. 15. Experimental trials have shown that the relationship between original image and decompressed image can be described approximately by a linear set of equations. According to the systems theory for weakly non-linear systems the describing function method [19] can be applied. Therefore in order to simplify the mathematical Improving Image Processing Systems by Artificial Neural Networks 51 model, compression/decompression can be replaced approximately at this point by the system matrix U (see Fig.
Especially near the grey axis of the colour space there is no relevance of the variables hue and saturation. The range for “colourless” is also defined by a fuzzy description. Implicit rules define that colours of the class “colourless” will be assigned to foreground or background using only the intensity value. It depends on the scanner and its quality of grey level reproduction which extent this range has. For the algorithm the following requirements have been established: 1. The training procedure must be performed using random samples.
Reading and Learning: Adaptive Content Recognition by Dirk Woitha, Dietmar Janich (auth.), Andreas Dengel, Markus Junker, Anette Weisbecker (eds.)
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