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Old Dominion University

High Performance Issues in Image Processing and Computer Vision

Abstract

dc:description.abstract

<p>Typical image processing and computer vision tasks found in industrial, medical, and military applications require real-time solutions. These requirements have motivated the design of many parallel architectures and algorithms. Recently, a new architecture called the reconfigurable mesh has been proposed. This thesis addresses a number of problems in image processing and computer vision on reconfigurable meshes.</p> <p>We first show that a number of low-level descriptors of a digitized image such as the perimeter, area, histogram and median row can be reduced to computing the sum of all the integers in a matrix, which in turn can be reduced to computing the prefix sums of a binary sequence and the prefix sums of an integer sequence. We then propose a new computational paradigm for reconfigurable meshes, that is, identifying an entity by a bus and performing computations on the bus to obtain properties of the entity. Using the new paradigm, we solve a number of mid-level vision tasks including the Hough transform and component labeling. Finally, a VLSI-optimal constant time algorithm for computing the convex hull of a set of planar points is presented based on a VLSI-optimal constant time sorting algorithm.</p> <p>As by-products, two basic data movement techniques, computing the prefix sums of a binary sequence and computing the prefix maxima of a sequence of real numbers, and a VLSI-optimal constant time sorting algorithm have been developed. These by-products are interesting in their own right. In addition, they can be exploited to obtain efficient algorithms for a number of computational problems.</p>

Degree

thesis:*
Name thesis:degree_name
Doctor of Philosophy (PhD)
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Year dc:date.available
1992

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhang, Jingyuan
Contributors dc:contributor
  • Stephan Olariu
  • James L. Schwing
  • Larry Wilson
  • Chester Grosch
  • Przemyslaw Bogacki

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • <p>In Copyright. URI: <a href="http://rightsstatements.org/vocab/InC/1.0/">http://rightsstatements.org/vocab/InC/1.0/</a> This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).</p>

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.odu.edu:computerscience_etds-1122

Chain of custody

source
Harvested from
Old Dominion University
Base URL
digitalcommons.odu.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Zhang, Jingyuan. High Performance Issues in Image Processing and Computer Vision. Dissertation thesis, 1992. https://digitalcommons.odu.edu/computerscience_etds/117