Publication
Automatic processing of bidimensional images of ''omic'' expression blobs
| dc.contributor.advisor | Shahbazkia, Hamid Reza | |
| dc.contributor.author | Anjos, António dos | |
| dc.date.accessioned | 2015-02-03T11:12:03Z | |
| dc.date.available | 2015-02-03T11:12:03Z | |
| dc.date.issued | 2011 | |
| dc.date.submitted | 2011 | |
| dc.description.abstract | In this work, a comprehensive review on automatic analysis of Proteomics and Genomics images is presented. Special emphasis is given to a particularly complex image produced by a technique called Two-Dimensional Gel Electrophoresis (2-DE), with thousands of spots (or blobs). Automatic methods for the detection, segmentation and matching of blob like features are discussed and proposed. In particular, a very robust procedure was achieved for processing 2-DE images, consisting mainly of two steps: a) A very trustworthy new approach for the automatic detection and segmentation of spots, based on the Watershed Transform, without any foreknowledge of spot shape or size, and without user intervention; b) A new method for spot matching, based on image registration, that performs well for either global or local distortions. The results of the proposed methods are compared to state-of-the-art academic and commercial products. | por |
| dc.identifier.tid | 101238517 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/5741 | |
| dc.language.iso | eng | por |
| dc.title | Automatic processing of bidimensional images of ''omic'' expression blobs | por |
| dc.type | doctoral thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | restrictedAccess | por |
| rcaap.type | doctoralThesis | por |
| thesis.degree.discipline | Engenharia Informática | por |
| thesis.degree.grantor | Universidade do Algarve. Faculdade de Ciências e Tecnologia | pt_PT |
| thesis.degree.level | Doutoramento | por |
| thesis.degree.name | Doutoramento em Engenharia Informática | por |