Wyniki wyszukiwania - BazTech

1

Stanowisko do automatycznego odczytu wartości mierzonej miernikiem analogowym

Szlachta A., Sidor K.

Pomiary Automatyka Kontrola

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2014

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R. 60, nr 8

548--551

PL

W artykule przedstawiono stanowisko do automatycznego odczytu wartości mierzonej miernikiem analogowym (woltomierz magnetoelektryczny). Do rejestracji obrazu zastosowano standardową kamerę internetową oraz oprogramowanie LabVIEW. Wykorzystano narzędzia z modułu NI Vision Development. Do detekcji wskazówki zastosowano transformatę Hougha. Przedstawiono wyniki badań wpływu parametrów rejestracji i przetwarzania obrazu oraz natężenia oświetlenia na detekcję wskazówki miernika analogowego.

EN

The paper presents an application for automatic reading of the measured value from an analogue meter. The software of the proposed application was developed in the LabVIEW environment using the NI Vision Development. For image acquisition the standard webcam was used (Fig.2). The analogue magneto-electric voltmeter with measuring ranges: 1,5 V; 3 V and 7,5 V was used as a testing instrument. The Hough transform (1) was applied to detection of the analogue meter indicator. Determination of the range of measurements was carried out using patternmatching methods. Fig. 5 presents the algorithm for determining the measuring range and the final value. The influence of illumination on the detection of the analog meter indicator was also examined. The obtained results are shown in Fig. 6. The analysis of the effect of the light intensity was made under artificial lighting. A digital luxmeter LUXMETER L-50 SONOPAN was used in the test procedure. The elaborated application (for the tested range 400-3000 lx) is fully useful for detection of image elements. The results of investigations of the influence of acquisition parameters and parameters of image processing on the detection of the analog meter indicator are included.

2

Classifying images of vehicles with the use of mathematical model ling

Piecha J., Wróbel K.

Magazyn Autostrady

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2006

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Nr 4

92--96

EN

The paper presents a method of recognizing and classifying images of vehicles with the use of a group of features selected on the basis of mathematical models by Hough [5].

3

Comparative investigations of similarity measure exploited in medical images preselection

Wróbel K., Porwik P.

Journal of Medical Informatics & Technologies

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2004

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Vol. 8

II25--31

EN

Nowadays, the most significant impact of digital image processing in the area of applications are real–world problems. Many new technological trends in medicine and digital processing have been implemented. Several factors indicate such development. A major one is the perpetually declining cost of the computer equipment required. Both processing unit and capacity of storage devices continue to become less expensive year by year. Another factor is the increasing availability of equipment for digitising and displaying images. In modern image processing, images have to be compared each other because such approach allows us to automate of retrieval process. Computer image retrieving is today especially important in medical diagnostics [1,7] or in preliminary images selection [8,9]. Today, in the digital image processing are used techniques and methods which have well known mathematical backgrounds. It can be observed, that in the area of digital signal processing, the Hough and well known the Fourier transform are exploited very often. These transforms are frequently use in image retrieving and can be implemented as computer applications. In many cases the mentioned methods give promising results in images classification or preselection [1,2,4,5,11]. Special properties of such transforms can be used in statistical or comparative goals, especially when searched information has graphic form. Taking into account the mentioned applications, transforms as methods of preliminary medical images selection have been investigated. From this reason pictures, analysing in the paper, to medical images have been limited.

4

Grouping based on perceptual labels in topographical analysis of the image function

Kasiński A., Przybylski L.

Journal of Applied Computer Science

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2003

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Vol. 11, nr 2

41-53

EN

A method has been proposed for the segmentation of monochromatic, digital images, which make direct reference to the topographic features of the image function surface. Extraction is based on local analysis of the image function surface by using an operator, which recognises topographical features of the image function surface and assigns appropriate labels for feature-carrying pixels. Modified Hough transform has been used for grouping these labels. Hough transform modification consists of adding mechanisms enabling to connect into more complex linear- and curvilinear structures the directly detected pieces of contours, which are formed by homogeneously labelled pixels (feature carriers).