J. Van Daele

Computer-assisted karyotyping with human interaction.

A system for machine assisted karyotyping and chromosome analysis has been developed. The system uses a drum- or TV-scanner as input device, runs provisionally in 32 K memory, and also allows human interaction on several stages. The accuracy with which banded chromosomes are karyotyped depends strongly on the type of classifier and varies from 40 up to 80%. The accuracy of the human assisted classifier (98%) comes close to that of a skilled technician (99.5%) using manual chromosomal analysis. Due to technical and memory limitations, the time necessary for the karyotyping of one cell is too long and depends on the interaction time; however karyotyping within 5 min, including human interaction, will be possible in the near future.

Design of a graph-representation and a fuzzy-classifier for human chromosomes

Abstract The subject of this paper is to set up some flexible subsystems for the automated karyotyping of human chromosomes. An algorithm based on a split and merge procedure is used to describe the chromosome profile in a tree structure. By defining supplementary branches between the tree nodes, nodes which correspond with the black and bright intervals of the profile, a graphical description of the chromosome can be generated. In order to interpret this graph, especially the features and relation assignments to the nodes and branches, some operators based on fuzzy set theory are studied. An operators aggregation structure is applied for the interpretation of chromosomes.

Automatic Visual Inspection Of Reed Switches

In many production chains visual inspection of products is an important manufacturing consideration with respect to quality control. Recent progress in image processing and pattern recognition led the way to economically justified applications; modern technology enables the construction of such auto mata featuring high reliability and constancy. This paper describes an automatic visual inspection machine performing intelligent control tasks in a very short time. The possible applications include dimension control of products; inspection of objects on shape, greyness, or texture; sorting of objects; positioning; etc. The design is based on a fast synthesis procedure of a TV image by profile extraction. The features to be controlled are extracted from these profiles and compared with upper/lower limits obtained from a learning process. The system performances are expressed by the elaboration of an industrial case, the real-time visual inspection of reed switches. More than 35 features are detected and controlled for each switch within 1 second. Several experiments with a prototype version have proven the feasible use as an industrial on-line controller.

On the computation of the inverse of a rational matrix via expansions

Adapting Silvermans structure algorithm a general, efficient and recursive algorithm is given for the following problem. Given the Laurent expansion at α of a non-singular rational matrix A(p), compute the Laurent expansion of the inverse A(p)−1 at α. The use of this algorithm in the inversion of rational and polynomial matrices and in particular the computation of the partial fraction expansion of the inverse are discussed.