Graduate Thesis Or Dissertation
 

Mathematical morphology : a case study of linear shift-invariant filter implementation

Public Deposited

Downloadable Content

Download PDF
Request Accessible Version
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/2v23vw87z

Descriptions

Attribute NameValues
Creator
Abstract
  • Morphological filters have shown good performance in various image processing applications. Furthermore, their algorithms are easy to implement in special architectures, with the exception that linear filtering cannot be implemented in many of these cases. In this study, a new architecture and corresponding algorithm, capable of realizing linear shiftinvariant filters, as well as morphological filters, are presented, using the symmetrical nature of the most commonly used linear filtering masks. The architecture suggested in the study, along with the algorithm presented, will provide considerable improvement in the power of image processing systems, as well as improvements in the application fields of mathematical morphology.
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Publisher
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6770A in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
Replaces

Relationships

Parents:

This work has no parents.

In Collection:

Items

Thumbnail Title Date Uploaded Visibility Actions
file details EoJinWoo1989.pdf 2017-08-04 Public Download