Wyniki wyszukiwania - BazTech

1

Image processing of leaks detection in sequence of infrared images

Bukowska-Belniak B., Leśniak A.

Measurement Automation Monitoring

|

2017

|

Vol. 63, No. 4

131--134

EN

This work presents the method of leaks detection in recorded sequence of infrared images. Infrared field measurements were taken on small experimental embankment during flood process simulation. The leak processes took place thru initially dry facility. Getting wet areas were visible in infrared images as lower temperatures part of embankment on its air side. Image processing methods allowed to localize the leak in thermal images, despite the impact of external factors on the measurement and differences in objects emissivity in the observed scene.

2

Analysis of annual temperature distribution inside the experimental embankment

Bukowska-Belniak B., Dwornik M., Leśniak A.

Computer Science

|

2017

|

Vol. 18 (4)

385--397

EN

The aim of this paper is analysis of temperatures distribution inside experimental embankment from August 2015 to September 2016. Analysis was carried out in order to interpretation of the results of the flood experiments performed on the experimental embankment. The reference for year temperature changes in the embankment at various depths was obtained. A simplified model of temperature changes depending on the depth was made. The model parameters which can be used for modelling the temperatures in the embankment during the experiments were estimated.

3

A 2D Model of Temperature Changes in Experimental Embankment

Bukowska-Belniak B., Dwornik M., Pięta A., Leśniak A.

Measurement Automation Monitoring

|

2015

|

Vol. 61, No. 6

233--236

EN

The paper presents the results of experimental embankment 2D thermal modeling. The main purpose of modeling was to investigate the influence of air temperature on temperature distribution in such soil structure. Modeling was performed on an oval experimental embankment with the tank in the inter-embankment part. Modeling assumes flooding and discharging the tank, with maximum water level equal to 3.5 m. 2D model was realized using FLAC 7.0 software, which is a two-dimensional explicit finite difference program for engineering mechanics computation. The results of modeling show extent of temperature changes an impact of variable-time air temperature and water temperature.

4

Porównanie metod redukcji szumu dla środowiskowych obrazów termograficznych

Bukowska-Belniak B., Dwornik M., Leśniak A.

Pomiary Automatyka Kontrola

|

2013

|

R. 59, nr 9

994--997

PL

W artykule przedstawione zostały standardowe oraz nowoczesne metody redukcji szumu dla termograficznych obrazów cyfrowych. Pokazano działanie kilku rodzajów filtracji różniących się zasadą działania: począwszy od metod działających w domenie przestrzeni lub częstotliwości do metod przestrzenno-częstotliwościowych (transformata falkowa, krzywkowa). Metody odszumiania przetestowane zostały zarówno na przykładzie temperaturowych obrazów syntetycznych, jak i na rzeczywistych środowiskowych obrazach termicznych.

EN

Thermography, as a fast and remote method of temperature imaging, can be used in environmental process monitoring [1, 2]. The recorded thermal images are noisy and low contrast. In Section 2 of the paper standard and modern methods of noise reduction for digital images are presented. The effect of several different types of filtration (operations in space or frequency domain [5, 6, 7]) and spatial-frequency transforms (wavelet transform (Fg. 1) [8] and curvelet transform [9]) are shown in Section 3. Noise reduction methods were tested both on synthetic temperature data examples and environmental thermal images. In order to examine the noise level of a camera, after the camera software corrections, the experiment (Fig. 2) was conducted. Fig. 3 shows the results of synthetic image denoising. Tab. 1 lists the mean square error for all the presented methods. In Section 4 the results of all the noise reduction methods for environmental images are presented (Figs. 4, 5). The best results for synthetic images were obtained for the wavelet transform using Daubechies wavelet family. This method required adapting several parameters. For both environmental images the Butterworth filtering, the wavelet and curvelet methods gave the bests results.