IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Data Flow Implementation of Erosion and Dilation

Data Flow Implementation of Erosion and Dilation
View Sample PDF
Author(s): Christina Pacher (Universität Wien, Austria)
Copyright: 2021
Pages: 8
Source title: Handbook of Research on Methodologies and Applications of Supercomputing
Source Author(s)/Editor(s): Veljko Milutinović (Indiana University, Bloomington, USA) and Miloš Kotlar (University of Belgrade, Serbia)
DOI: 10.4018/978-1-7998-7156-9.ch007

Purchase

View Data Flow Implementation of Erosion and Dilation on the publisher's website for pricing and purchasing information.

Abstract

This chapter describes a data flow implementation of the image processing algorithms Erosion and Dilation. Erosion and Dilation are basic image processing algorithms which are used to reduce or increase the size of objects in images, respectively, and which are used in a wide number of image processing applications. The chapter first describes the control flow versions of the algorithms in detail. Subsequently, the translation of these algorithms to the Data Flow paradigm is examined, and the details of the data flow implementation as well as possible optimizations are discussed.

Related Content

Miloš Kotlar. © 2021. 4 pages.
Ivan Ratković, Miljan Djordjevic. © 2021. 13 pages.
Benjamin Berg, Mor Harchol-Balter. © 2021. 23 pages.
Bryan Donyanavard, Amir M. Rahmani, Axel Jantsch, Onur Mutlu, Nikil Dutt. © 2021. 33 pages.
Assefaw Gebremedhin, Mostofa Patwary, Fredrik Manne. © 2021. 22 pages.
Nenad Korolija, Jovan Popović, Miroslav M. Bojović. © 2021. 10 pages.
Christina Pacher. © 2021. 8 pages.
Body Bottom