Show simple item record

dc.contributor.authorFaruq, Samia
dc.date.accessioned2015-09-07T14:52:24Z
dc.date.available2015-09-07T14:52:24Z
dc.date.issued2012
dc.identifier.citationFaruq, S. 2012. Comparing the efficiency of computational colour constancy algorithms in agent-based simulations: Flower colours and pollinators as a model. Queen Mary University of London.en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/8476
dc.descriptionPhDen_US
dc.description.abstractThe perceived colour of an object depends on its spectral reflection and spectral composition of the illuminant. Upon illumination change, the light reflected from the object also varies. This results in a different colour sensation if no colour constancy mechanism is available to form consistent representations of colours across various illuminants. We explore various colour constancy mechanisms in an agent-based model of foraging bees selecting flower colour based on reward. The simulations are based on empirically determined spatial distributions of various flower species in different plant communities, their rewards and spectral reflectance properties. Simulated foraging bees memorise the colours of flowers experienced as being most rewarding, and their task is to discriminate against other flower colours with lower rewards, even in the face of changing illumination conditions. The experimental setup of the simulation of bees foraging under different photic environments reveals the performance of various colour constancy mechanisms as well as the selective pressures on flower colour as a result of changing light. We compared the performance of von Kries photoreceptor adaptation and various computational colour constancy models based on the retinex theory with (hypothetical) bees with perfect colour constancy, and with modelled bees with colour blindness. While each individual model generated moderate improvements over a colour-blind bee, the most powerful recovery of reflectance in the face of changing illumination was generated by computational mechanisms that increase perceptual distances between co-occurring colours in the scene. We verified the results of our model using various comparisons between modelled bees’ performance and that predicted by our models, as well as exploring the implications for flower colour distribution in a variety of representative habitats under realistic illumination conditions.en_US
dc.description.sponsorshipEPSRC
dc.language.isoenen_US
dc.publisherQueen Mary University of London
dc.subjectneuroscienceen_US
dc.subjectemotions and painen_US
dc.subjectpain modulationen_US
dc.subjectpain thresholdsen_US
dc.subjectvisceral pain hypersensitivityen_US
dc.subjectAutonomic Nervous Systemen_US
dc.subjectoesophageal pain hypersensitivityen_US
dc.titleComparing the efficiency of computational colour constancy algorithms in agent-based simulations: Flower colours and pollinators as a model.en_US
dc.typeThesisen_US
dc.rights.holderThe copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without the prior written consent of the author


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • Theses [3141]
    Theses Awarded by Queen Mary University of London

Show simple item record