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Parallel Image Processing by Prof. Dr. Thomas Bräunl, Dipl.-Inform. Stefan Feyrer, PDF

By Prof. Dr. Thomas Bräunl, Dipl.-Inform. Stefan Feyrer, Dipl.-Inform. Wolfgang Rapf, Dipl.-Inform. Michael Reinhardt (auth.)

ISBN-10: 3642086799

ISBN-13: 9783642086793

ISBN-10: 3662043270

ISBN-13: 9783662043271

This publication constructed out of a sequence of guides within the zone of picture processing with hugely parallel algorithms. the subject of snapshot processing is a very promising quarter for using synchronous vastly parallel or data-parallel compu­ ter platforms which paintings in response to the SIMD precept (single guide, a number of data). whereas the period of huge SIMD super-computers has handed, SIMD structures have come again as devoted imaginative and prescient subsystems and should quickly be came upon even in embedded structures. compared to traditional sequential implementations of simple picture opera­ tions, this publication illustrates the intrinsic parallelism that is usually found in photo processing. through employing parallel algorithms it truly is even attainable to demonstrate oper­ ations in an easier and more straightforward to appreciate approach than for the sequential case. The presentation approach selected for this publication assumes that brief, terse excerpts of application code will considerably improve the certainty of the cloth, e.g. of photo operations, whereas longer listings usually tend to distract from the subject. accordingly, each one bankruptcy won't in simple terms outline and clarify the primary photograph processing algorithms with the aid of examples, yet also will provide an excerpt of a hugely par­ allel software. For photo processing which means at the least almost there may be one processor on hand for every pixel. The mapping onto a smaller variety of exist­ via compiler, and as of ing genuine processors is finished transparently the such isn't curiosity here.

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This e-book constructed out of a sequence of courses within the zone of snapshot processing with hugely parallel algorithms. the subject of picture processing is a very promising sector for using synchronous vastly parallel or data-parallel compu­ ter platforms which paintings in line with the SIMD precept (single guideline, a number of data).

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4 Dithering halftoning [Foley, van Dam, Feiner, Hughes 90]. 5 shows dithering with a 2x2-pattem; five intensity levels can be differentiated. 6 implements Ordered Dithering in parallel. The actual calculations are only executed on every forth PE, in the left top corner of each 2x2 pattern. Three quarters of the PEs remain inactive. Only the gray values of the comer PE are considered during dithering. To select an appropriate pattern four threshold values are required. For this purpose the complete gray scale is divided into five equal sections via the constant thres.

5 Other Morphological Methods Literature contains numerous more morphological operators [Jain 89], [Gonzalez, Woods 92]. This book only shows some selected methods in their parallel form. Well known are especially the operators Hit-Miss as well as Thinning and Thickening. They too can be implemented in parallel in a similar way to the operators shown here. Further morphological and other methods as well as their parallel implementation can be found in [Johansson 94].

4 shows an example of the Connected operator. Connected (3,14) begins with a pixel in the connection-component at the bottom left (triangle), which the operator isolates from the rest of the image. Connected (3,3), however, returns the large connection-component at the top. Depending on the choice of structure-element we can implement 4-neighbourhoods (S3 ), 8-neighbourhoods (as for S 1 here) or any other arbitrary neighbourhoods for Fill and Connected, even unsymmetrical ones. ,........ • 1 •• I ,..

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Parallel Image Processing by Prof. Dr. Thomas Bräunl, Dipl.-Inform. Stefan Feyrer, Dipl.-Inform. Wolfgang Rapf, Dipl.-Inform. Michael Reinhardt (auth.)


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