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Local detection of defects from image sequences

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Rafajłowicz E., Wnuk M., Rafajłowicz W.

International Journal of Applied Mathematics and Computer Science

2008

tom 18

nr 4

581-592

Our aim is to discuss three approaches to the detection of defects in continuous production processes, which are based on local methods of processing image sequences. These approaches are motivated by and applicable to images of hot metals or other surfaces, which are uniform at a macroscopic level, when defects are not present. The first of them is based on the estimation of fractal dimensions of image cross-sections. The second and third approaches are compositions of known techniques, which are selected and tuned to our goal. We discuss their advantages and disadvantages, since they provide different information on defects. The results of their testing on 12 industrial images are also summarized.

A modified filter SQP method as a tool for optimal control of nonlinear systems with spatio-temporal dynamics

100%

Rafajłowicz E., Styczeń K., Rafajłowicz W.

International Journal of Applied Mathematics and Computer Science

2012

tom 22

nr 2

313-326

Our aim is to adapt Fletcher's filter approach to solve optimal control problems for systems described by nonlinear Partial Differential Equations (PDEs) with state constraints. To this end, we propose a number of modifications of the filter approach, which are well suited for our purposes. Then, we discuss possible ways of cooperation between the filter method and a PDE solver, and one of them is selected and tested.

Ograniczanie wyników

2 International Journal of Applied Mathematics and Computer Science

2 Rafajłowicz E.

2 Rafajłowicz W.

1 Styczeń K.

1 Wnuk M.

1 2012

1 2008

Wyniki wyszukiwania

Local detection of defects from image sequences

A modified filter SQP method as a tool for optimal control of nonlinear systems with spatio-temporal dynamics