DocumentCode
2370525
Title
Texture analysis for image processing on general-purpose parallel machines
Author
Boroczky, Lilla ; Cremonesi, Paolo ; Scarabottolo, Nello
Author_Institution
KFKI Res. Inst. for Meas. & Comput. Techniques, Hungarian Acad. of Sci., Budapest, Hungary
fYear
1994
fDate
14-16 Dec 1994
Firstpage
17
Lastpage
24
Abstract
The problem considered in this paper is the definition of an efficient parallel algorithm for texture analysis of an image. The target architectures are distributed-memory general-purpose MIMD parallel machines. The solutions proposed here are based on two different methods, the Statistic Feature Matrix and the Wavelet Decomposition
Keywords
distributed memory systems; image texture; parallel algorithms; wavelet transforms; Statistic Feature Matrix; Wavelet Decomposition; distributed-memory; general-purpose parallel machines; image processing; parallel algorithm; target architectures; texture analysis; Algorithm design and analysis; Computer networks; Concurrent computing; Distributed computing; Image analysis; Image processing; Image texture analysis; Parallel machines; Power system interconnection; Wavelet analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Architectures, Algorithms and Networks, 1994. (ISPAN), International Symposium on
Conference_Location
Kanazawa
Print_ISBN
0-8186-6507-6
Type
conf
DOI
10.1109/ISPAN.1994.367169
Filename
367169
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