Parallel Image Processing
By: by Thomas Bräunl, Stefan Feyrer, Wolfgang Rapf, Michael Reinhardt
Contributors: Feyrer, Stefan; Rapf, Wolfgang; Reinhardt, Michael
Publisher: Springer Berlin Heidelberg
Published: 2001
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 203
ISBN-13: 9783642086793; 9783662043271
Subjects: Computer vision; Computer graphics; Computer science; Mathematics; Physics; Engineering
Description: This book serves as a general introduction to the area of image processing as well as to data-parallel processing. It covers a number of standard algorithms in image processing and describes their parallel implementation in a practical "hands-on" approach: Each algorithm is accompanied by numerous diagrams and program source code. Combining text, graphics, and programs is a new approach in presenting the subject matter, which will help students to better grasp the concepts - irrespective of the programming language used. The programming language chosen for all examples is a structured parallel programming language which is ideal for educational purposes. It has a number of advantages over C, and since all image processing tasks are inherently parallel, using a parallel language for presentation actually simplifies the subject matter, resulting in shorter source codes and better understanding. Sample programs and a free compiler are available on the Web.
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Mode of access: World Wide Web.
Table of contents: title: Introduction; title: Point Operators; title: Local Operators; title: Edge Detection; title: Skeletonizing; title: Morphological Operators; title: Segmentation; title: Corner Detection; title: Hough Transform; title: Fourier Transform; title: Texture Recognition; title: Stereo Image Processing; title: Analysis of Image Sequences; title: Appendix: Parallaxis Parallel Programming Language; Parallaxis-III Syntax; Programming Tools; Vision Library; References; title: Index.