Temporal and spatial fuzzy granularity of laser and ultrasound frames

Ana Lucía Dai Pra, Héctor Rabal, Guillermo Bértora, Paul Finger, Lucía Passoni

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

2 Scopus citations

Abstract

The use of a method based on fuzzy granular computing to process ultrasound image stack and also ultra-sound single images is proposed. Fuzzy granularity has been employed with success in the determination of speckle laser activity, this determination is usually temporal and requires a stack of consecutive time frames of the sample. In this proposal a spatial method is also presented, based on the computing of intensity grains inside a sliding window in the image. To test the performance of the method, we apply it to corn kernels images obtained with dynamic laser speckle and a set of ultra-sound (US) images of an eye with melanoma. Temporal and spatial approaches would allow identifying regions of interest in the corn grain and benign and malignant tumors within the eye ultrasound images.

Original languageEnglish
Title of host publicationVI Latin American Congress on Biomedical Engineering, CLAIB 2014
EditorsAriel Braidot, Alejandro Hadad
PublisherSpringer Verlag
Pages405-408
Number of pages4
ISBN (Electronic)9783319131160
DOIs
StatePublished - 2015
Externally publishedYes
Event6th Latin American Congress on Biomedical Engineering, CLAIB 2014 - Paraná, Argentina
Duration: 29 Oct 201431 Oct 2014

Publication series

NameIFMBE Proceedings
Volume49
ISSN (Print)1680-0737

Conference

Conference6th Latin American Congress on Biomedical Engineering, CLAIB 2014
Country/TerritoryArgentina
CityParaná
Period29/10/1431/10/14

Keywords

  • Dynamic speckle
  • Fuzzy sets
  • Granular compu-ting
  • Ultrasound images

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