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A dynamic model of classifier competence based on the local fuzzy confusion matrix and the random reference classifier

Trajdos P., Kurzynski M.

International Journal of Applied Mathematics and Computer Science

2016

Vol. 26, no. 1

175--189

Nowadays, multiclassifier systems (MCSs) are being widely applied in various machine learning problems and in many different domains. Over the last two decades, a variety of ensemble systems have been developed, but there is still room for improvement. This paper focuses on developing competence and interclass cross-competence measures which can be applied as a method for classifiers combination. The cross-competence measure allows an ensemble to harness pieces of information obtained from incompetent classifiers instead of removing them from the ensemble. The cross-competence measure originally determined on the basis of a validation set (static mode) can be further easily updated using additional feedback information on correct/incorrect classification during the recognition process (dynamic mode). The analysis of computational and storage complexity of the proposed method is presented. The performance of the MCS with the proposed cross-competence function was experimentally compared against five reference MCSs and one reference MCS for static and dynamic modes, respectively. Results for the static mode show that the proposed technique is comparable with the reference methods in terms of classification accuracy. For the dynamic mode, the system developed achieves the highest classification accuracy, demonstrating the potential of the MCS for practical applications when feedback information is available.

Potencjał oraz zastosowanie komputerowej analizy i przetwarzania obrazu w przemyśle rolno-spożywczym

Guzek D., Głąbska D., Wierzbicka A.

Inżynieria Rolnicza

2011

R. 15, nr 4

67-73

Celem pracy było określenie potencjału oraz możliwości zastosowania komputerowej analizy i przetwarzania obrazu w przemyśle rolno-spożywczym w Polsce, ze szczególnym uwzględnieniem sektora mięsnego. Zakres pracy obejmował analizę dostępnych danych literaturowych dotyczących zastosowania komputerowej analizy obrazu w przemyśle rolno-spożywczym. Zaprezentowano możliwości zdefiniowania parametrów produktów rolno-spożywczych w celu określenia ich jakości przy zastosowaniu instrumentalnego, szybkiego i pozwalającego na uzyskiwanie powtarzalnych wyników metod wizyjnych.

The purpose of the presented article was to determine the potential and possibilities for employing computer analysis and image processing in the agricultural and food industry in Poland, with particular consideration of meat production sector. The scope of works included analysis of available data from the literature concerning the use of computer image analysis in the agricultural and food industry. It presents possibilities for defining parameters of the agricultural and food products in order to determine their quality using visual methods that would be instrumental, quick and allow to obtain repeatable results.