PARALLEL ALGORITHMS FOR LOW-LEVEL VISION ON THE HOMOGENEOUS MULTIPROCESSOR

被引：2

作者：

DANTU, RV ^{[1
]}

DIMOPOULOS, NJ ^{[1
]}

LI, KF ^{[1
]}

PATEL, RV ^{[1
]}

ALKHALILI, AJ ^{[1
]}

机构：

[1] CONCORDIA UNIV,DEPT ELECT & COMP ENGN,MONTREAL H3G 1M8,QUEBEC,CANADA

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 1994年 / 20卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

MULTIPROCESSING; VISION; COMPUTER ARCHITECTURE; IMAGE PROCESSING; PATTERN RECOGNITION; MIMO ARCHITECTURE;

D O I：

10.1016/0045-7906(94)90006-X

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this work, we present the parallel implementation of three low-level vision algorithms, namely smoothing, histogram generation and edge detection by using the Sobel operator on the Homogeneous Multiprocessor. These algorithms were run on the simulator specifically developed for the Homogeneous Multiprocessor and the simulation experiments were used to establish the performance of these algorithms on the proposed architecture.

引用

页码：51 / 60

页数：10

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