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    Wyświetlanie 1-7 z 7
    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:
    Change Detection for SAR Imagery Using Connected Components Analysis
    Autorzy:
    Gromek, A.
    Jenerowicz, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/227323.pdf
    Data publikacji:
    2012
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    change detection
    TSX
    SAR image analysis
    remote sensing
    Opis:
    Objective of the described analysis is to provide consistent change detection method based on image processing techniques applied to the Synthetic Aperture Radar (SAR) images acquired over the same geographical area, but at two different time instances. The approach adopted in our work requires incorporation of results with the additional information derived from analysis based on mathematical morphology (MM) techniques and visual interpretation of multitemporal VHR optical satellite images.
    Źródło:
    International Journal of Electronics and Telecommunications; 2012, 58, 2; 111-116
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    ADDP : Anomaly Detection Based on Denoising Pretraining
    Autorzy:
    Ge, Xianlei
    Li, Xiaoyan
    Zhang, Zhipeng
    Powiązania:
    https://bibliotekanauki.pl/articles/27311945.pdf
    Data publikacji:
    2023
    Wydawca:
    Polska Akademia Nauk. Czasopisma i Monografie PAN
    Tematy:
    Anomaly Detection
    Diffusion Models
    image denoising
    Pretraining
    transfer learning
    Opis:
    Acquiring labels in anomaly detection tasks is expensive and challenging. Therefore, as an effective way to improve efficiency, pretraining is widely used in anomaly detection models， which enriches the model's representation capabilities, thereby enhancing both performance and efficiency in anomaly detection. In most pretraining methods, the decoder is typically randomly initialized. Drawing inspiration from the diffusion model, this paper proposed to use denoising as a task to pretrain the decoder in anomaly detection, which is trained to reconstruct the original noise-free input. Denoising requires the model to learn the structure, patterns, and related features of the data, particularly when training samples are limited. This paper explored two approaches on anomaly detection: simultaneous denoising pretraining for encoder and decoder, denoising pretraining for only decoder. Experimental results demonstrate the effectiveness of this method on improving model’s performance. Particularly, when the number of samples is limited, the improvement is more pronounced.
    Źródło:
    International Journal of Electronics and Telecommunications; 2023, 69, 4; 719--726
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    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:
    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:
    Performance of Unsupervised Change Detection Method Based on PSO and K-means Clustering for SAR Images
    Autorzy:
    Shehab, Jinan N.
    Abdulkadhim, Hussein A.
    Powiązania:
    https://bibliotekanauki.pl/articles/1844494.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    change detection
    k-means clustering
    multitemporal satellite image
    PSO
    Gabor wavelet filter
    remote sensing
    Opis:
    This paper presents unsupervised change detection method to produce more accurate change map from imbalanced SAR images for the same land cover. This method is based on PSO algorithm for image segmentation to layers which classify by Gabor Wavelet filter and then K-means clustering to generate new change map. Tests are confirming the effectiveness and efficiency by comparison obtained results with the results of the other methods. Integration of PSO with Gabor filter and k-means will providing more and more accuracy to detect a least changing in objects and terrain of SAR image, as well as reduce the processing time.
    Źródło:
    International Journal of Electronics and Telecommunications; 2021, 67, 3; 403-408
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Real-time Foreground Object Detection Combining the PBAS Background Modelling Algorithm and Feedback from Scene Analysis Module
    Autorzy:
    Kryjak, T.
    Komorkiewicz, M.
    Gorgon, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/225985.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    PBAS algorithm
    foreground segmentation
    foreground object detection
    background generation
    background subtraction
    background modelling
    image processing
    image analysis
    FPGA
    connected component analysis
    consecutive frame diffrencing
    Opis:
    The article presents a hardware implementation of the foreground object detection algorithm PBAS (Pixel-Based Adaptive Segmenter) with a scene analysis module. A mechanism for static object detection is proposed, which is based on consecutive frame differencing. The method allows to distinguish stopped foreground objects (e.g. a car at the intersection, abandoned luggage) from false detections (so-called ghosts) using edge similarity. The improved algorithm was compared with the original version on popular test sequences from the changedetection.net dataset. The obtained results indicate that the proposed approach allows to improve the performance of the method for sequences with the stopped objects. The algorithm has been implemented and successfully verified on a hardware platform with Virtex 7 FPGA device. The PBAS segmentation, consecutive frame differencing, Sobel edge detection and advanced one-pass connected component analysis modules were designed. The system is capable of processing 50 frames with a resolution of 720×576 pixels per second.
    Źródło:
    International Journal of Electronics and Telecommunications; 2014, 60, 1; 61-72
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-7 z 7

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