Temat: histograms - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Evaluation of the quality of titanium oxide and copper oxide layers by means of optical microscopy
Autorzy:: Głuszek, A.
Sawicka-Chudy, P.
Wisz, G.
Sibiński, M.
Cholewa, M.
Powiązania:: https://bibliotekanauki.pl/articles/101772.pdf
Data publikacji:: 2018
Wydawca:: Instytut Polityki Energetycznej im. Ignacego Łukasiewicza
Tematy:: titanium oxide
copper oxide
optical microscopy
histograms
Opis:: The aim of this paper is to analyse high-resolution optical images of the surface layers of titanium oxide and copper oxide. The materials were produced using the PREVAC Modular Platform for layer deposition located at the University of Rzeszów. Images with a magnification of 50x were obtained using an optical microscope. On the basis of the results obtained, the quality of the layers was evaluated based on the image analysis. The quantitative method of analysis was applied, as a result of which the conditions of the manufacturing process for which the obtained layers had the highest homogeneity were indicated. The minimum range of grey shade counting was from 65 to 150 and the maximum range from 135 to 220. The standard deviation was from 8 to 40%.
Źródło:: Energy Policy Studies; 2018, 1 (2); 39-51
2545-0859
Pojawia się w:: Energy Policy Studies
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Two-stage classification approach for human detection in camera video in bulk ports
Autorzy:: Mi, C.
Zhang, Z.
He, X.
Huang, Y.
Mi, W.
Powiązania:: https://bibliotekanauki.pl/articles/259499.pdf
Data publikacji:: 2015
Wydawca:: Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
Tematy:: Human Detection
Histograms of Oriented Gradients
Support Vector Machine
classification
Opis:: With the development of automation in ports, the video surveillance systems with automated human detection begun to be applied in open-air handling operation areas for safety and security. The accuracy of traditional human detection based on the video camera is not high enough to meet the requirements of operation surveillance. One of the key reasons is that Histograms of Oriented Gradients (HOG) features of the human body will show great different between front & back standing (F&B) and side standing (Side) human body. Therefore, the final training for classifier will only gain a few useful specific features which have contribution to classification and are insufficient to support effective classification, while using the HOG features directly extracted by the samples from different human postures. This paper proposes a two-stage classification method to improve the accuracy of human detection. In the first stage, during preprocessing classification, images is mainly divided into possible F&B human body and not F&B human body, and then they were put into the second-stage classification among side human and non-human recognition. The experimental results in Tianjin port show that the two-stage classifier can improve the classification accuracy of human detection obviously.
Źródło:: Polish Maritime Research; 2015, S 1; 163-170
1233-2585
Pojawia się w:: Polish Maritime Research
Dostawca treści:: Biblioteka Nauki

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