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Image processing algorithm for improving the identification of patterns on Diptera wings

  • Université de Reims Champagne-Ardenne

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

4 Scopus citations

Abstract

This paper presents an image processing algorithm to highlight important features from Diptera wings, as a first step towards the development of an automated analysis tool for the identification, at a species level, of certain genres of Diptera based on their wings morphological characteristics. The present algorithm includes: patterns, landmarks, and spot cells, identification through filters, edge and round geometries detectors as well as their respective centers and radii. The aim was to improve the usually manual Diptera identification task by stressing on the most important features of the wings and use this as a training tool for non-experienced users.

Original languageEnglish
Title of host publication2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509037940
DOIs
StatePublished - 23 Jan 2017
Event2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016 - Ixtapa, Guerrero, Mexico
Duration: 9 Nov 201611 Nov 2016

Publication series

Name2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016

Conference

Conference2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016
Country/TerritoryMexico
CityIxtapa, Guerrero
Period9/11/1611/11/16

Keywords

  • Gaussian noise
  • cells
  • centers
  • edges
  • insects
  • morphological wings analysis
  • patterns
  • radii
  • skeleton

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