Edge detection with bilateral filtering in spiral space

Jun Zhou, Qimei Hu, Xiangjian He

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

Edge detection is a vital preprocessing step towards high-level Image analysis. One of Its many applications of edge is that It can be used In Image compression where accurate edge detection Is required. A way for Improving the accuracy and quality of edge detection of noisy contaminated image is to preserve edge details while removing noise. In this paper Spiral Architecture Is used to sample image data. Spiral Architecture provides powerful computational power and enables Image to be uniformly partitioned and distributed to various processors for parallel processing. This paper shows the implementation of recently developed bilateral filtering technique in Spiral Architecture for edge-preserving smoothing of noise in images.

Original languageEnglish
Title of host publicationProceedings of the Second International Conference on Information Technology and Applications (ICITA 2004)
Pages422-425
Number of pages4
Publication statusPublished - 2004
Externally publishedYes
EventProceedings of the Second International Conference on Information Technology and Applications (ICITA 2004) - Harbin, China
Duration: 9 Jan 200411 Jan 2004

Publication series

NameProceedings of the Second International Conference on Information Technology and Applications (ICITA 2004)

Conference

ConferenceProceedings of the Second International Conference on Information Technology and Applications (ICITA 2004)
Country/TerritoryChina
CityHarbin
Period9/01/0411/01/04

Keywords

  • Edge detection
  • Image compression
  • Spiral Architecture

ASJC Scopus subject areas

  • General Engineering

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