Replicated shared object model for parallel edge detection algorithm based on spiral architecture

Xiangjian He; Tom Hintz; Ury Szewcow

doi:10.1016/s0167-739x(98)00038-7

Replicated shared object model for parallel edge detection algorithm based on spiral architecture

Xiangjian He, Tom Hintz, Ury Szewcow

Research output: Journal Publication › Article › peer-review

3 Citations (Scopus)

Abstract

Edge detection in computer vision and image processing is a process which detects one kind of significant feature in an image that appears as discontinuities in intensities. A parallel edge detection algorithm based on spiral architecture is designed in this paper using a replicated shared object model (RSOM). We use this approach to meet the requirements of replicated object management, update propagation, underlying communication and consistency maintenance among replicated objects. Multi-scale image theory plays an important role in this research.

Original language	English
Pages (from-to)	341-350
Number of pages	10
Journal	Future Generation Computer Systems
Volume	14
Issue number	5-6
DOIs	https://doi.org/10.1016/s0167-739x(98)00038-7
Publication status	Published - Dec 1998
Externally published	Yes

Keywords

Dynamic modelling
Edge detection
Multi-scale theory
Parallel processing
Spiral architecture

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Networks and Communications

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10.1016/s0167-739x(98)00038-7

Cite this

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title = "Replicated shared object model for parallel edge detection algorithm based on spiral architecture",

abstract = "Edge detection in computer vision and image processing is a process which detects one kind of significant feature in an image that appears as discontinuities in intensities. A parallel edge detection algorithm based on spiral architecture is designed in this paper using a replicated shared object model (RSOM). We use this approach to meet the requirements of replicated object management, update propagation, underlying communication and consistency maintenance among replicated objects. Multi-scale image theory plays an important role in this research.",

keywords = "Dynamic modelling, Edge detection, Multi-scale theory, Parallel processing, Spiral architecture",

author = "Xiangjian He and Tom Hintz and Ury Szewcow",

year = "1998",

month = dec,

doi = "10.1016/s0167-739x(98)00038-7",

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journal = "Future Generation Computer Systems",

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AU - He, Xiangjian

AU - Hintz, Tom

AU - Szewcow, Ury

PY - 1998/12

Y1 - 1998/12

N2 - Edge detection in computer vision and image processing is a process which detects one kind of significant feature in an image that appears as discontinuities in intensities. A parallel edge detection algorithm based on spiral architecture is designed in this paper using a replicated shared object model (RSOM). We use this approach to meet the requirements of replicated object management, update propagation, underlying communication and consistency maintenance among replicated objects. Multi-scale image theory plays an important role in this research.

AB - Edge detection in computer vision and image processing is a process which detects one kind of significant feature in an image that appears as discontinuities in intensities. A parallel edge detection algorithm based on spiral architecture is designed in this paper using a replicated shared object model (RSOM). We use this approach to meet the requirements of replicated object management, update propagation, underlying communication and consistency maintenance among replicated objects. Multi-scale image theory plays an important role in this research.

KW - Dynamic modelling

KW - Edge detection

KW - Multi-scale theory

KW - Parallel processing

KW - Spiral architecture

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U2 - 10.1016/s0167-739x(98)00038-7

DO - 10.1016/s0167-739x(98)00038-7

M3 - Article

AN - SCOPUS:0032307461

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VL - 14

SP - 341

EP - 350

JO - Future Generation Computer Systems

JF - Future Generation Computer Systems

IS - 5-6

ER -

Replicated shared object model for parallel edge detection algorithm based on spiral architecture

Abstract

Keywords

ASJC Scopus subject areas

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