Content-based registration of side-scan sonar images

This thesis is devoted to the image registration problem of multi-modal images with applications to underwater imagery. With the advent of Autonomous Underwater Vehicles, high resolution images of the seabed can be routinely acquired. However, the relative short range of the sensors implies that a mosaicing process is necessary to produce large scale maps.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Use of a designed fusion protein dissociates allosteric properties from the dodecameric state of Pseudomonas aeruginosa catabolic ornithine carbamoyltransferase

The catabolic ornithine carbamoyltransferase from Pseudomonas aeruginosa, an enzyme consisting of 12 identical 38-kDa subunits, displays allosteric properties, namely carbamoylphosphate homotropic cooperativity and heterotropic activation by AMP and other nucleoside mono-phosphates and inhibition by polyamines. To shed light on the effect of the oligomeric organization on the enzyme's activity and/or allosteric behavior, a hybrid ornithine carbamoyl-transferase/glutathione S-transferase (OTCase-GST) molecule was constructed by fusing the 3' end of the P. aeruginosa arcB gene (OTCase) to the 5' end of the cDNA encoding Musca domestica GST by using a polyglycine encoding sequence as a linker. The fusion protein was overexpressed in Escherichia coli and purified from cell extracts by affinity chromatography, making use of the GST domain. It was found to exist as a trimer and to retain both the homotropic and heterotropic characteristic interactions of the wild-type catabolic OTCase but to a lower extent as compared with the wild-type OTCase. The dodecameric, organization of catabolic P. aeruginosa OT-Case may therefore be related to an enhancement of the substrate cooperativity already present in its trimers (and perhaps also to the thermostability of the enzyme).SCOPUS: ar.jinfo:eu-repo/semantics/publishe

Modelling of millimetre-wave personnel scanners for automated detection

The ATRIUM project aims to the automatic detection of threats hidden under clothes using millimetre-wave imaging. We describe a simulator of realistic millimetre-wave images and a system for detecting metallic weapons automatically. The latter employs two stages, detection and tracking. We present a detector for metallic objects based on mixture models, and a target tracker based on particle filtering. We show convincing, simulated millimiter-wave images of the human body with and without hidden threats, including a comparison with real images, and very good detection and tracking performance with eight real sequences. (International Workshop on Pattern Recognition for Crime Prevention, Security and Surveillance