Wyniki wyszukiwania - BazTech

1

Metody wizyjne w automatyzacji spawania

Sypniewski G.

Przegląd Spawalnictwa

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2015

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R. 87, nr 1

39--47

PL

W artykule omówiono problematykę wdrożenia systemu wizyjnego do sterowania procesem spawalniczym. Zaprezentowano podstawowe sposoby usuwania zakłóceń oraz algorytmy rozpoznawania obrazu. Przetestowano dostępne na rynku czujniki.

EN

The article discusses the issues of implementation of the vision system to control the welding process. The basic methods of removing noises and image recognition algorithms were presented. Commercially available sensors were tested.

2

Handling class label noise in medical pattern classification systems

Sáez J. A., Krawczyk B., Woźniak M.

Journal of Medical Informatics & Technologies

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2015

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Vol. 24

123--130

EN

Pattern classification systems play an important role in medical decision support. They allow to automatize and speed-up the data analysis process, while being able to handle complex and massive amounts of information and discover new knowledge. However, their quality is based on the classification models built, which require a training set. In supervised classification we must supply class labels to each training sample, which is usually done by domain experts or some automatic systems. As both of these approaches cannot be deemed as flawless, there is a chance that the dataset is corrupted by class noise. In such a situation, class labels are wrongly assigned to objects, which may negatively affect the classifier training process and impair the classification performance. In this contribution, we analyze the usefulness of existing tools to deal with class noise, known as noise filtering methods, in the context of medical pattern classification. The experiments carried out on several real-world medical datasets prove the importance of noise filtering as a pre-processing step and its beneficial influence on the obtained classification accuracy.

3

Numeryczna filtracja zakłóceń sygnałów pomiarowych w mikroprocesorowym systemie PDOC-16

Mutwil J.

Archiwum Technologii Maszyn i Automatyzacji

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2004

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Vol. 24, nr 3 sp

115-122

PL

Opisano zastosowane w odlewniczym mikroprocesorowym systemie pomiarowym PDOC-16 dwa algorytmy do numerycznej filtracji zakłóceń mierzonych sygnałów analogowych. Efektywność algorytmów omówiono na przykładzie filtracji sygnałów analizy termiczno-derywacyjnej.

EN

Two algorithms applied in foundry microprocessor measuring system PDOC-16 for numerical filtering of measured signals noises have been described. Algorithms effectiveness has been discussed on the example of filtering of thermal-derivative analysis signals.

4

Adaptive modification of the vector median filter

Smolka B.

Machine Graphics and Vision

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2002

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Vol. 11, No. 2/3

327-350

EN

In this paper we address the problem of impulsive noise reduction in color images. A new, simple but efficient, filter for noise attenuation is introduced, and its relatio ship with commmonly used techniques is investigated. The computional complexity of the new filter is shown to be lower than that od the Vector Median Filter (VMF). The experiments indicate that the new filter outperforms the VMF, as well as other basic procedures used in color image processing for elimination of impulsive noise.