A novel algorithm for an image processing system in entomology

Authors:
Marjan Kindalov;Ana Madevska Bogdanova;Zarko Erakovic
Affiliations:
Netcetera Doo, Skopje, FYR Macedonia;University of Ss. Cyril and Methodius, Skopje, FYR Macedonia;Ministry of Agriculture, Skopje, Forestry and Water, FYR Macedonia
Venue:
Proceedings of the Fifth Balkan Conference in Informatics
Year:
2012

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Abstract

This paper presents a novel algorithm for localization of characteristic symmetrical parts of an image. The algorithm is developed in order to recognize the pupae images of the insects Bemisia tabaci and Trialeurodes vaporariorum, but the generic nature enables its use in different domains. This novel Symmetrical self-filtration algorithm (SSF) is based on the template matching algorithm and utilizes the symmetrical nature of the images. Its purpose is to enhance the outcome of the template matching process.