Clustering approach to vector mathematical morphology

Constantin Vertan, Marius Malciu, Titus Zaharia, Vasile Buzuloiu

Research output: Contribution to conferencePaperpeer-review

Abstract

The processing and analysis of vector valued signals has become in the last decade a major field of interest. The direct extension of classical processing methods for the scalar signals is not always possible. The mathematical morphology viewed as a processing technique for gray images is such a one that cannot be extended easily. In this paper we present an approach to the vector mathematical morphology based on clustering techniques in the signal sample space.

Original languageEnglish
Pages187-190
Number of pages4
Publication statusPublished - 1 Jan 1996
Externally publishedYes
EventProceedings of the 1996 3rd IEEE International Conference on Electronics, Circuits, and Systems, ICECS. Part 2 (of 2) - Rodos, Greece
Duration: 13 Oct 199616 Oct 1996

Conference

ConferenceProceedings of the 1996 3rd IEEE International Conference on Electronics, Circuits, and Systems, ICECS. Part 2 (of 2)
CityRodos, Greece
Period13/10/9616/10/96

Fingerprint

Dive into the research topics of 'Clustering approach to vector mathematical morphology'. Together they form a unique fingerprint.

Cite this