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DeWAFF: A novel image abstraction approach to improve the performance of a cell tracking system

  • S. Calderon
  • , A. Saenz
  • , R. Mora
  • , F. Siles
  • , I. Orozco
  • , M. E. Buemi

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

7 Scopus citations

Abstract

This paper presents a new image abstraction approach, aiming to improve typical image related pattern recognition tasks such as segmentation, tracking, and classification. The proposed image abstraction framework performs image denoising and homogeneous region simplification, along with border and region enhancement. The proposed framework consists in a novel generalized approach of common weighted averaging denoising algorithms mixed with Unsharp Masking (USM) border enhancement techniques, to avoid typical USM artifacts as ringing. Results of the different configurations within the image abstraction framework for a cell tracking application are presented.

Original languageEnglish
Title of host publicationIWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence
Subtitle of host publicationIntelligent Systems for Biodiversity Conservation, Proceedings
EditorsKarmele Lopez de Ipina, Carlos Manuel Travieso-Gonzalez, Jesus B. Alonso-Hernandez
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages81-88
Number of pages8
ISBN (Electronic)9781479961740
DOIs
StatePublished - 15 Jul 2015
Externally publishedYes
Event4th International Work Conference on Bio-Inspired Intelligence, IWOBI 2015 - San Sebastian, Spain
Duration: 9 Jun 201512 Jun 2015

Publication series

NameIWOBI 2015 - 2015 International Work Conference on Bio-Inspired Intelligence: Intelligent Systems for Biodiversity Conservation, Proceedings

Conference

Conference4th International Work Conference on Bio-Inspired Intelligence, IWOBI 2015
Country/TerritorySpain
CitySan Sebastian
Period9/06/1512/06/15

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