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Wyświetlanie 1-15 z 47
Tytuł:
Analysis of advanced techniques of image processing based on automatic detection system and road sings recognition
Autorzy:
Smorawa, D.
Kubanek, M.
Powiązania:
https://bibliotekanauki.pl/articles/122301.pdf
Data publikacji:
2014
Wydawca:
Politechnika Częstochowska. Wydawnictwo Politechniki Częstochowskiej
Tematy:
image processing
image detection
radon transform
Hough transform
przetwarzanie obrazów
transformata Radona
transformata Hough'a
Opis:
This paper describes implementations of the Hough Circle Transform and the Radon Line Transform. The presented transforms were used to build a system for identifying road signs from selected images and recordings. This can be very important and especially useful for monitoring and prevention in driver assistance systems. The design of our system assumed that the objects should be found automatically from images or video sequence. Furthermore, the detection was based on the shapes of common traffic signs which correspond to used transforms. Additionally, the Huffman method was applied to encode the data before being compared. Consequently, the traffic signs were matched directly with the Euclidean distance.
Źródło:
Journal of Applied Mathematics and Computational Mechanics; 2014, 13, 1; 103-113
2299-9965
Pojawia się w:
Journal of Applied Mathematics and Computational Mechanics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Image processing of leaks detection in sequence of infrared images
Autorzy:
Bukowska-Belniak, B.
Leśniak, A.
Powiązania:
https://bibliotekanauki.pl/articles/114417.pdf
Data publikacji:
2017
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
image processing
infrared image
experimental embankment
leaks detection
Opis:
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.
Źródło:
Measurement Automation Monitoring; 2017, 63, 4; 131-134
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Survey on Facial Features Detection
Autorzy:
Naruniec, J.
Powiązania:
https://bibliotekanauki.pl/articles/226792.pdf
Data publikacji:
2010
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
object detection
image processing
face recognition
Opis:
In this article chosen approaches to the facial features detection have been gathered and described. In the conclusion author discusses advantages and disadvantages of the presented algorithms.
Źródło:
International Journal of Electronics and Telecommunications; 2010, 56, 3; 267-272
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Face detection in color images using skin segmentation
Autorzy:
Hajiarbabi, M.
Agah, A.
Powiązania:
https://bibliotekanauki.pl/articles/384677.pdf
Data publikacji:
2014
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
skin detection
neural networks
face detection
skin segmentation
image processing
Opis:
Face detection which is a challenging problem in computer vision, can be used as a major step in face recognition. The challenges of face detection in color images include illumination differences, various cameras characteristics, different ethnicities, and other distinctions. In order to detect faces in color images, skin detection can be applied to the image. Numerous methods have been utilized for human skin color detection, including Gaussian model, rule-based methods, and artificial neural networks. In this paper, we present a novel neural network-based technique for skin detection, introducing a skin segmentation process for finding the faces in color images.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2014, 8, 3; 41-51
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Illumination for chatter mark detection using machine vision
Autorzy:
Szydłowski, M.
Powałka, B.
Berczyński, S.
Powiązania:
https://bibliotekanauki.pl/articles/100021.pdf
Data publikacji:
2014
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
inspection
chatter detection
image processing
wavelet transform
Opis:
Authors of this research present a new method for image acquisition using special illumination for milled surfaces. The presented method uses special light and camera setup to reveal chatter marks on processed surfaces. After the acquisition the images are digitally processed using a method based on Continuous Wavelet Transform. A milling experiment has been preformed for validation of the methods. The biggest advantage of this method is that it doesn't have to be manually set like other image processing methods used in chatter detection.
Źródło:
Journal of Machine Engineering; 2014, 14, 2; 38-46
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Tests of a longwall shearer diagnostic system using infrared camera
Autorzy:
Polnik, B.
Powiązania:
https://bibliotekanauki.pl/articles/114685.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
thermovision
longwall shearer
diagnostics
detection
mining
image processing
Opis:
The important role of coal in the global energy sector is unquestionable. Improving the efficiency of extraction of raw materials is one of the main tasks of which are committed to designers of modern mining machines. Therefore, you have increasing importance in the process of mining have support systems trouble-free operation of mining machines. At the KOMAG Institute of Mining Technology diagnostic system has been developed combine with the use of thermal imaging techniques. This is the first in the world this type of solution dedicated to working underground mines potentially explosive methane and / or coal dust. The article presents the results of prototype tests combine diagnostic system using a thermal imaging camera realized on a real object in the mine. They pointed out the advantages and disadvantages developed solutions and formulated appropriate proposals summarizing.
Źródło:
Measurement Automation Monitoring; 2015, 61, 6; 249-252
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Visual Detection Method of Longitudinal Crack Based on Computer Image Processing During Slab Continuous Casting
Autorzy:
Liu, Y.
Wang, X.
Sun, Y.
Du, F.
Gao, Y.
Wang, F.
Wang, J.
Powiązania:
https://bibliotekanauki.pl/articles/351636.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
longitudinal crack
visual detection
image processing
continuous casting
Opis:
Based on the mould temperature measured by thermocouples during slab continuous casting, a difference of temperature thermograph is developed to detect slab cracks. In order to detect abnormal temperature region caused by longitudinal crack, the suspicious regions are extracted and divided by virtue of computer image processing algorithms, such as threshold segmentation, connected region judgement and boundary tracing. The abnormal regions are then determined and labeled with the eight connected component labeling algorithm. The boundary of abnormal region is also extracted to depict characteristics of longitudinal crack. Based on above researches, longitudinal crack with abnormal temperature region can be detected and is different from other abnormalities. Four samples of temperature drop are picked up to compare with longitudinal crack on the abnormal region formation, length, width, shape, et al. The results show that the abnormal region caused by longitudinal crack has a linear and vertical shape. The height of abnormal region is more than the width obviously. The ratio of height to width is usually larger than that of other temperature drop regions. This method provides a visual and easy way to detect longitudinal crack and other abnormities. Meanwhile it has a positive meaning to the intelligent and visual mould monitoring system of continuous casting.
Źródło:
Archives of Metallurgy and Materials; 2018, 63, 2; 673-680
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Implementacja w FPGA algorytmu detekcji krawędzi obrazu w czasie rzeczywistym
FPGA implementation of edge detection algorithms on real-time image
Autorzy:
Kowalski, P.
Smyk, R.
Powiązania:
https://bibliotekanauki.pl/articles/268256.pdf
Data publikacji:
2018
Wydawca:
Politechnika Gdańska. Wydział Elektrotechniki i Automatyki
Tematy:
przetwarzanie obrazu
wykrywanie krawędzi
FPGA
image processing
edge detection
Opis:
W artykule przedstawiono projekt architektury oraz implementację układową toru przetwarzania wstępnego obrazu z modułem detekcji krawędzi. Układ został zaimplementowany w FPGA Intel Cyclone. Zrealizowany moduł wykorzystuje pięć wybranych algorytmów wykrywania krawędzi, w tym Robertsa, Sobela i Prewitt.
The paper presents FPGA implementation details of the hardware image processing block with the edge detection module. In the implemented video processing module we use five selected edge detection algorithms, including Roberts, Sobel and Prewitt. The structure was synthesized and packed using hardware design platform built around the Intel Cyclone V FPGA. The number of logic elements used in each implementation was compared. We also estimated the execution time and maximum possible frame rate in VGA (640x480) and FullHD (1920x1080) video stream.
Źródło:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej; 2018, 61; 49-52
1425-5766
2353-1290
Pojawia się w:
Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Economical methods for measuring road surface roughness
Autorzy:
Grabowski, D.
Szczodrak, M.
Czyżewski, A.
Powiązania:
https://bibliotekanauki.pl/articles/221297.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
image processing
neural networks
pothole detection
Kinect
Raspberry Pi
Opis:
Two low-cost methods of estimating the road surface condition are presented in the paper, the first one based on the use of accelerometers and the other on the analysis of images acquired from cameras installed in a vehicle. In the first method, miniature positioning and accelerometer sensors are used for evaluation of the road surface roughness. The device designed for installation in vehicles is composed of a GPS receiver and a multi-axis accelerometer. The measurement data were collected from recorded ride sessions taken place on diversified road surface roughness conditions and at varied vehicle speeds on each of examined road sections. The data were gathered for various vehicle body types and afterwards successful attempts were made in constructing the road surface classification employing the created algorithm. In turn, in the video method, a set of algorithms processing images from a depth camera and RGB cameras were created. A representative sample of the material to be analysed was obtained and a neural network model for classification of road defects was trained. The research has shown high effectiveness of applying the digital image processing to rejection of images of undamaged surface, exceeding 80%. Average effectiveness of identification of road defects amounted to 70%. The paper presents the methods of collecting and processing the data related to surface damage as well as the results of analyses and conclusions.
Źródło:
Metrology and Measurement Systems; 2018, 25, 3; 533-549
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Low-cost thermal scanner image enhancement by merging thermal and visual data
Autorzy:
Olbrycht, R.
Militowski, S.
Powiązania:
https://bibliotekanauki.pl/articles/114113.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
thermal scanner
multispectral
edge detection
thermal camera
image processing
Opis:
This paper demonstrates the application of different image processing techniques to process high resolution visual images and merge it with low resolution thermograms to improve its level of detail. The same idea is applied in commercially available thermal cameras (e.g. FLIR with MSX® technology). Low resolution thermograms considered in this paper were obtained from a thermal scanner with point infrared detector (Fig. 1) sensitive to long wavelength infrared spectral range. The proposed algorithms are Laplacian, Sobel operator, embossing and Gaussian differential blur (described in section 3). The authors processed 6 different thermograms to qualitatively assess obtained results. It was done in a statistical manner through a survey and revealed that both Sobel operator and embossing provided the most clear, detailed and unambiguous results (Fig. 5). Such algorithms may be applied for processing more channels in a multispectral, cost-effective system.
Źródło:
Measurement Automation Monitoring; 2015, 61, 6; 184-186
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Method for Filling and Sharpening False Colour Layers of Dual Energy X-ray Images
Autorzy:
Dmitruk, K.
Mazur, M.
Denkowski, M.
Mikołajczak, P.
Powiązania:
https://bibliotekanauki.pl/articles/227318.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
X-ray imaging
image processing
false colour
object detection
Opis:
An X-ray scanning and image processing have a vast range of applications in the security. An image of a content of some package being passed for example to an airplane or to the court house may help to figure out if there are any dangerous objects inside that package and to avoid possible threatening situation. As the raw X-ray images are not always easy to analyze and interpret, some image processing methods like an object detection, a frequency resolution increase or a pseudocolouring are being used. In this paper, we propose a pseudocoloring improvement over material based approach. By addition of the edge detection methods we fill and sharpen colour layers over the image, making it easier to interpret. We demonstrate the effectiveness of the methods using real data, acquired from a professional dual energy X-ray scanner.
Źródło:
International Journal of Electronics and Telecommunications; 2016, 62, 1; 49-54
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Ultra-wideband 3D image processing for improving landmine detection with GPR
Autorzy:
Ligthart, E. E.
Yarovoy, A. G.
Roth, F.
Ligthart, L. P.
Powiązania:
https://bibliotekanauki.pl/articles/307781.pdf
Data publikacji:
2005
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
ground penetrating radar
image processing
object detection
classification
clutter removal
Opis:
This paper describes a new landmine detection algorithm starting from high resolution 3D ground penetrating radar (GPR) images. The algorithm consists of two procedures, object detection and object classification; both strongly depend on the properties of 3D GPR images. The algorithm has been tested on data measured with an ultrawideband (UWB) video impulse radar (VIR) system developed by the International Research Centre for Telecommunications and Radar (IRCTR). It was found that the algorithm is able to detect all landmines (including difficult to detect M14 mines) and classifies almost all landmines correctly with a large reduction in the number of false alarms caused by clutter. It turns out that for clutter removal it is most effective to eliminate detected objects with a small height.
Źródło:
Journal of Telecommunications and Information Technology; 2005, 2; 9-15
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Przetwarzanie wstępne i analiza obrazu na użytek lokalizacji twarzy
Automatic face detection method
Autorzy:
Majkowski, A.
Kołodziej, M.
Rak, R. J.
Nasternak, M
Powiązania:
https://bibliotekanauki.pl/articles/152848.pdf
Data publikacji:
2014
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
detekcja twarzy
przetwarzanie obrazów
klasyfikacja
face detection
image processing
classification
Opis:
W artykule zaprezentowany jest algorytm automatycznej detekcji twarzy w obrazie statycznym. Detektor ma osiągać najwyższą skuteczność przy znajdowaniu twarzy możliwie niepochylonych i patrzących na wprost kamery. Wielkość wykrywanych twarzy musi być (z pewnymi odchyleniami) zgodna z rozmiarem twarzy zawartych na obrazach zastosowanych do uczenia klasyfikatora. Obrazy wejściowe mogą być kolorowe lub czarno-białe. Nie ma limitu co do liczby twarzy znajdujących się na obrazie.
The aim of this work is to design and implement a face detection algorithm in static images. The detector have to achieve the best results in finding possible not inclined faces of people looking directly at the camera. The authors have proposed an algorithm which operation is based on the appearance (features) of the face. Block diagram of the proposed face detector is given in Fig. 1. In the first stage, the image containing the face is subjected to preprocessing in which normalization is the most important. Normalization aims to unify a variety of analyzed images. We have used here a conversion of colors to gray levels and stretching and equalization of image histogram. Thus prepared image is processed by the appropriate face detection algorithm, which consists of pre-selection and classification. In order to train the classifier the authors created a database of images consisting of two major categories: containing faces and do not contain faces. As a collection of images that include faces there have been used Olivetti DB ORL database [1]. Final processing step is to get rid of the multiple detection of the same faces. As a result of the algorithm we obtain the location of all faces in the input image (Fig. 4). The size of detected faces should be (with some variations) in accordance with the size of images used to train the classifier. Input images can be color or black and white. There is no limit to the number of faces in an image.
Źródło:
Pomiary Automatyka Kontrola; 2014, R. 60, nr 3, 3; 132-135
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Robotic Mobile Holder (For CAR Dashboards)
Autorzy:
Madhunala, Srilatha
Kanneti, Bhavya
Anathula, Priya
Powiązania:
https://bibliotekanauki.pl/articles/2200722.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
LabVIEW
image processing
Servo Motor
NImyRIO
face detection
phone holder
Opis:
In the current smart tech world, there is an immense need of automating tasks and processes to avoid human intervention, save time and energy. Nowadays, mobile phones have become one of the essential things for human beings either to call someone, connect to the internet, while driving people need mobile phones to receive or make a call, use google maps to know the routes and many more. Normally in cars, mobile holders are placed on the dashboard to hold the mobile and the orientation of the phone needs to be changed according to the driver's convenience manually, but the driver may distract from driving while trying to access mobile phone which may lead to accidents. To solve this problem, an auto adjustable mobile holder is designed in such a way that it rotates according to the movement of the driver and also it can even alert the driver when he feels drowsiness. Image Processing is used to detect the movement of the driver which is then processed using LabVIEW software and NI myRIO hardware. NI Vision development module is used to perform face recognition and servo motors are used to rotate the holder in the required position. Simulation results show that the proposed system has achieved maximum accuracy in detecting faces, drowsiness and finding the position coordinates.
Źródło:
International Journal of Electronics and Telecommunications; 2023, 69, 1; 89--98
2300-1933
Pojawia się w:
International Journal of Electronics and Telecommunications
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Własności wybranych typów sieci neuronowych wykorzystywanych do detekcji położenia oczu pacjenta
Properties of selected neural network types used for the detection of the position of patient’s eyes
Autorzy:
Koprowski, R.
Wróbel, Z.
Powiązania:
https://bibliotekanauki.pl/articles/130123.pdf
Data publikacji:
2006
Wydawca:
Stowarzyszenie Geodetów Polskich
Tematy:
sieć neuronowa
przetwarzanie obrazów
rozpoznawanie obrazów
oczy
detekcja
neural network
image processing
image recognition
eye detection
Opis:
W pracy przedstawiono zastosowanie sieci neuronowych ze wsteczną propagacją błędów do zadania rozpoznawania oczu pacjenta widocznych w dowolnej projekcji na obrazie w świetle widzialnym. Rozpatrywana analiza dotyczy wskazywania z możliwie największą dokładnością środków oczu pacjenta dla różnych warunków pomiaru np. zmian oświetlenia. Przeprowadzono weryfikacje błędu uczenia sieci neuronowej w zależności od liczby neuronów w poszczególnych warstwach, liczby warstw, typów neuronów oraz wybranych ustawień jej parametrów. Uzyskane wyniki potwierdzają konieczność losowego doboru przypadków pozytywnych i negatywnych (zawierających i nie zawierających obrazu oka) w wektorze uczącym. Najlepsze rezultaty (ok. 10 % błędnych rozpoznań dla 1 300) uzyskano dla sieci neuronowej ze wsteczną propagacją błędów dla jednej warstwy ukrytej składającej się z 10 neuronów po 400 epokach.
This paper presents the application of a backpropagation neural network to the isolation of patient’s eyes visible in any picture in visible light. The method properties were analysed depending on: the number of neutrons in the individual layers, the number of layers, neuron types and selected network types. The research covered in this paper is a part of a project aimed at developing methods for the three-dimensional mapping of a patient’s body. The project is funded from grant no. 4 T12E 052 27: The automation of the measurements of digital images for a photogrammetric system for a 3D patient’s body positioning employed in medical rehabilitation. The obtained results confirm the usefulness of neural networks in eye recognition, in which there were 10 % incorrect recognitions for 1 300 patients. Due to the large number of measured properties, the number of images that formed the learning vector was set to 4 960 (about 200 examined patients). The learning vector included 2 480 images containing an eye, as well as 2 480 images without eyes, put in random order. The validation and test vector were created in a similar way, using 4 960 and 19 500 images (of 200 and 1 300 patients), respectively. The quality of recognition was improved and the number of incorrect recognitions was reduced by employing additional transformations of the result images from the neural network. For instance, comparing the maximum area determined by the network and the respective maximum output value from the network allowed reducing the error to approximately 3 %. Additionally, the paper proposes various neural network structures and configurations and evaluates their effectiveness in this application. The methodology covered in this paper can be extended to other problems of a similar type.
Źródło:
Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2006, 16; 319-329
2083-2214
2391-9477
Pojawia się w:
Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 47

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