DocumentCode
430983
Title
A cost optimal parallel algorithm for histogram image matching
Author
Arya, K.V. ; Gupta, P. ; Kalra, Pren K.
Author_Institution
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Kanpur, India
Volume
B
fYear
2004
fDate
21-24 Nov. 2004
Firstpage
116
Abstract
This paper presents a parallel algorithm for histogram image template matching using an SIMD array processor with a hypercube interconnection network. For an N×N image and M×M template window, the time complexity is shown to be reduced to O(M+log2M+logN) as compared to O(N2M2) for the sequential algorithm, for the N2 processing element (PE) multiprocessor systems. Each PE requires only a small local memory. The algorithm is shown to be cost optimal with total cost of computation is O(N2M+N2log2M+N2logN).
Keywords
hypercube networks; image matching; multiprocessing systems; parallel algorithms; SIMD array processor; histogram image template matching; hypercube interconnection network; local memory; parallel algorithm; processing element multiprocessor system; sequential algorithm; Cost function; Histograms; Image matching; Parallel algorithms;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN
0-7803-8560-8
Type
conf
DOI
10.1109/TENCON.2004.1414545
Filename
1414545
Link To Document