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
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;
Conference_Titel :
Parallel Architectures, Algorithms and Networks, 1994. (ISPAN), International Symposium on
Conference_Location :
Kanazawa
Print_ISBN :
0-8186-6507-6
DOI :
10.1109/ISPAN.1994.367169
