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Illumination correction and analysis of two-dimensional microscopy images of Loa loa microfilariae

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapt_PT
dc.contributor.advisorShahbazkia, Hamid Reza
dc.contributor.advisorAnjos, António dos
dc.contributor.authorAl-Tam, Faroq
dc.date.accessioned2018-09-14T10:38:37Z
dc.date.available2018-09-14T10:38:37Z
dc.date.issued2016-07-06
dc.date.submitted2016
dc.description.abstractThis thesis addresses the problem of detecting a common parasitic micro laria that causes loaisis, a major disease problem in Central and Western Africa. The dose of medicine to be administered to the patient is proportional to the estimated number of micro lariae in the patient's body. Therefore, proper estimation of the number of micro lariae is the key for conducting the right procedure. The clinical examination is necessary to estimate the micro lariae density in a blood sample drawn from the patient. Thereafter, visual inspection of the sample is performed. The main challenge in this work is, however, the development of an automatic detection system of micro lariae in 2-D images. Such problem is new in the image processing literature, and the development of such system is very important for performing better diagnosis and treatment of this disease and other similar diseases. A comprehensive review of, both generic and thin, object detectors in 2-D images is presented. A very robust method for microscopy image illumination correction is proposed, and a new powerful descriptor, the Hessian-Polar Context (HPC), for micro lariae is also introduced. These are then combined in a micro lariae detection system, where a simple, yet e cient, hypotheses generator is also presented. Additionally, several methods and applications for di erent image modalities are proposed. These involve a method and an application for the analysis of rice panicle in 2-D images. Additionally, an e cient method for artifact suppression in X-ray image is also proposed. The proposed methods are compared to a set of state-of-the-art methods. Experimental results show that the developed methods are great contributions to the microscopy and X-ray imaging elds.pt_PT
dc.identifier.tid101374674pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.1/10795
dc.language.isoengpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectIllumination correctionpt_PT
dc.subjectLoa loa microfilariaept_PT
dc.subjectTwo-dimensional microscopy imagespt_PT
dc.titleIllumination correction and analysis of two-dimensional microscopy images of Loa loa microfilariaept_PT
dc.typedoctoral thesis
dspace.entity.typePublication
person.familyNameAl-Tam
person.givenNameFaroq
person.identifierR-00G-A33
person.identifier.ciencia-id2515-AFE3-525F
person.identifier.orcid0000-0001-9718-2039
person.identifier.ridK-7031-2016
person.identifier.scopus-author-id55246034700
rcaap.rightsopenAccesspt_PT
rcaap.typedoctoralThesispt_PT
relation.isAuthorOfPublication15ac97f4-a867-462d-9fc6-0a47bb2919d3
relation.isAuthorOfPublication.latestForDiscovery15ac97f4-a867-462d-9fc6-0a47bb2919d3
thesis.degree.grantorUniversidade do Algarve. Faculdade de Ciências e Tecnologia
thesis.degree.levelDoutor
thesis.degree.nameDoutoramento em Engenharia Informáticapt_PT

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