This work considers novel image-processing and computer-vision techniques to advance the automated analysis of low-resolution, complex 3D volumetric Computed Tomography (CT) imagery obtained in the aviation-security-screening domain. Novel research is conducted in three key areas: image quality improvement, segmentation and classification. A sinogram-completion Metal Artefact Reduction (MAR) te...

Given a large collection of tree-structured objects (e.g., XML documents), the similarity join finds the pairs of objects that are similar to each other, based on a similarity threshold and a tree edit distance measure. The state-ofthe-art similarity join methods compare simpler approximations of the objects (e.g., strings), in order to prune pairs that cannot be part of the similarity join res...

Extraction of visual descriptors is a crucial problem for stateof-the-art visual information analysis. In this paper, we present a knowledgebased approach for detection of visual objects in video sequences, extraction of visual descriptors and matching with pre-defined objects. The proposed approach models objects through their visual descriptors defined in MPEG7. It first extracts moving regio...

At the present time, computer graphics demonstrates a lot of achievements in physically correct rendering of opaque objects and optically isotropic transparent and translucent objects (such as glass, diamond, or water). This paper examines the current state of art in the algorithms for physically accurate calculation of images of 3D scenes including transparent optically anisotropic objects (fe...

This paper exploits an innovative technique to improve performances related to localization, tracking and classification of objects in a video surveillance system. The developed strategy has been applied to the problem of interaction between objects, i.e. well tuned traditional algorithms can able to track and classify objects whenever they enter the scene well-isolated from the other moving ob...

The use of Abstract Relation Types (ART) in the analysis of system structure and system component clustering is the primary focus of this paper. Two basic system definitions are presented along with two, object-clustering definitions which were obtained from a literature search. The ART analysis approach is applied to classical N-Squared Charts and Design Structure Matrices (DSM), with specific...

Class-based objects can be programmed directly and ee-ciently in a simple extension to ML. The representation of objects, based on abstract and record types, allows all usual operations such as multiple inheritance, object returning capability, and message transmission to themselves as well as to their super classes. There is, however, no implicit coercion from objects to corresponding ones of ...

This paper examines the use of the Algebraic Reconstruction Method (ART) and related techniques to reconstruct 3D objects from a relatively sparse set of cone-beam projection data. Although ART has been widely used for cone-beam reconstruction of high-contrast objects, e.g. in computed angiography, we are interested in the more challenging low-contrast case which represents a little investigate...