GEOMETRIC ALGORITHMS FOR DIGITIZED PICTURES ON A MESH-CONNECTED COMPUTER.

Russ Miller; Quentin F. Stout

doi:10.1109/TPAMI.1985.4767645

GEOMETRIC ALGORITHMS FOR DIGITIZED PICTURES ON A MESH-CONNECTED COMPUTER.

Russ Miller
, Quentin F. Stout

Department of Computer Science and Engineering

State University of New York Binghamton University

Research output: Contribution to journal › Article › peer-review

69 Scopus citations

Abstract

Although mesh-connected computers are used almost exclusively for low-level local image processing, they are also suitable for higher level image processing tasks. The authors illustrate this by presenting new optimal (in the O-notational sense) algorithms for computing several geometric properties of figures.

Original language	English
Pages (from-to)	216-228
Number of pages	13
Journal	IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume	PAMI-7
Issue number	2
DOIs	https://doi.org/10.1109/TPAMI.1985.4767645
State	Published - 1985

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10.1109/TPAMI.1985.4767645

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title = "GEOMETRIC ALGORITHMS FOR DIGITIZED PICTURES ON A MESH-CONNECTED COMPUTER.",

abstract = "Although mesh-connected computers are used almost exclusively for low-level local image processing, they are also suitable for higher level image processing tasks. The authors illustrate this by presenting new optimal (in the O-notational sense) algorithms for computing several geometric properties of figures.",

author = "Russ Miller and Stout, \{Quentin F.\}",

year = "1985",

doi = "10.1109/TPAMI.1985.4767645",

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AU - Stout, Quentin F.

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Y1 - 1985

N2 - Although mesh-connected computers are used almost exclusively for low-level local image processing, they are also suitable for higher level image processing tasks. The authors illustrate this by presenting new optimal (in the O-notational sense) algorithms for computing several geometric properties of figures.

AB - Although mesh-connected computers are used almost exclusively for low-level local image processing, they are also suitable for higher level image processing tasks. The authors illustrate this by presenting new optimal (in the O-notational sense) algorithms for computing several geometric properties of figures.

UR - https://www.scopus.com/pages/publications/0022028615

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DO - 10.1109/TPAMI.1985.4767645

M3 - Article

AN - SCOPUS:0022028615

SN - 0162-8828

VL - PAMI-7

SP - 216

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JO - IEEE Transactions on Pattern Analysis and Machine Intelligence

JF - IEEE Transactions on Pattern Analysis and Machine Intelligence

IS - 2

ER -

GEOMETRIC ALGORITHMS FOR DIGITIZED PICTURES ON A MESH-CONNECTED COMPUTER.

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