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    Wyświetlanie 1-6 z 6
    Tytuł:
    An improved algorithm for feature extraction from a fingerprint fuzzy image
    Autorzy:
    Surmacz, K.
    Saeed, K.
    Rapta, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/174451.pdf
    Data publikacji:
    2013
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    biometrics
    feature extraction
    fingerprints
    minutiae
    Gabor filter
    feature vector
    image processing
    Opis:
    Proper fingerprint feature extraction is crucial in fingerprint-matching algorithms. For good results, different pieces of information about a fingerprint image, such as ridge orientation and frequency, must be considered. It is often necessary to improve the quality of a fingerprint image in order for the feature extraction process to work correctly. In this paper we present a complete (fully implemented) improved algorithm for fingerprint feature extraction, based on numerous papers on this topic. The paper describes a fingerprint recognition system consisting of image preprocessing, filtration, feature extraction and matching for recognition. The image preprocessing includes normalization based on mean value and variation. The orientation field is extracted and Gabor filter is used to prepare the fingerprint image for further processing. For singular point detection, the Poincaré index with a partitioning method is used. The ridgeline thinning is presented and so is the minutia extraction by CN algorithm. The paper contains the comparison of obtained results to the other algorithms.
    Źródło:
    Optica Applicata; 2013, 43, 3; 515-527
    0078-5466
    1899-7015
    Pojawia się w:
    Optica Applicata
    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 Denim Fabric Inspection Using Image Analysis
    Badanie powierzchni tkanin typu denim za pomocą analizy obrazu w czasie rzeczywistym
    Autorzy:
    Çelik, H. I.
    Topalbekitoglu, M.
    Dülger, L. C.
    Powiązania:
    https://bibliotekanauki.pl/articles/234476.pdf
    Data publikacji:
    2015
    Wydawca:
    Sieć Badawcza Łukasiewicz - Instytut Biopolimerów i Włókien Chemicznych
    Tematy:
    image processing
    real-time fabric inspection
    Gabor filter
    denim fabric
    machine vision system
    przetwarzanie obrazu
    kontrola produkcji tkanin w czasie rzeczywistym
    filtr Gabor
    tkaniny typu denim
    system inspekcji wizualnej
    Opis:
    In spite of using modern weaving technology, many types of fabric defects occur during production. Most defects arising in the production process of a fabric are still detected by human inspection. A machine vision system that can be adapted to different types of fabric inspection machines is proposed in this study. Image frames of denim fabric were acquired using a CCD line-scan camera. An algorithm was developed by using the Gabor filter and double thresholding methods. The performance of the algorithm was tested real-time by analysing a denim fabric sample which contained six types of defects: hole, warp lacking, weft lacking, soiled yarn, water soil and yarn flow (knot). The defective regions of the denim fabric sample were detected and labelled successfully.
    Mimo stosowania współczesnych technologii tkackich, wiele typów defektów tkaniny powstaje podczas ich produkcji. Większość defektów podczas procesu produkcji tkaniny w dalszym ciągu jest wykrywana poprzez kontrolę pracowników. W pracy zaproponowano automatyczny system inspekcji wizualnej, który można adoptować do różnych typów maszyn, realizujących inspekcje tkaniny. Wykonano ramki ilustrujące tkaninę typu Denim przy zastosowaniu liniowej kamery skanującej typu CCD. Opracowano algorytm stosując filtr Gabor A i metodę podwójnego progu dyskryminującego. Skuteczność algorytmu testowano analizując próbki tkaniny Denim zawierające 6 typów defektów - dziura, brak osnowy, brak wątku, zabrudzona przędza, zmoczona przędza i pęczki. Sukcesywnie określano zaznaczone uszkodzenia.
    Źródło:
    Fibres & Textiles in Eastern Europe; 2015, 3 (111); 85-90
    1230-3666
    2300-7354
    Pojawia się w:
    Fibres & Textiles in Eastern Europe
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Music Playlist Generation using Facial Expression Analysis and Task Extraction
    Autorzy:
    Sen, A.
    Popat, D.
    Shah, H.
    Kuwor, P.
    Johri, E.
    Powiązania:
    https://bibliotekanauki.pl/articles/908868.pdf
    Data publikacji:
    2016
    Wydawca:
    Uniwersytet Marii Curie-Skłodowskiej. Wydawnictwo Uniwersytetu Marii Curie-Skłodowskiej
    Tematy:
    facial expression analysis
    emotion recognition
    feature extraction
    viola jones face detection
    gabor filter
    adaboost
    k-NN algorithm
    task extraction
    music classification
    playlist generation
    Opis:
    In day to day stressful environment of IT Industry, there is a truancy for the appropriate relaxation time for all working professionals. To keep a person stress free, various technical or non-technical stress releasing methods are now being adopted. We can categorize the people working on computers as administrators, programmers, etc. each of whom require varied ways in order to ease themselves. The work pressure and the vexation of any kind for a person can be depicted by their emotions. Facial expressions are the key to analyze the current psychology of the person. In this paper, we discuss a user intuitive smart music player. This player will capture the facial expressions of a person working on the computer and identify the current emotion. Intuitively the music will be played for the user to relax them. The music player will take into account the foreground processes which the person is executing on the computer. Since various sort of music is available to boost one's enthusiasm, taking into consideration the tasks executed on the system by the user and the current emotions they carry, an ideal playlist of songs will be created and played for the person. The person can browse the playlist and modify it to make the system more flexible. This music player will thus allow the working professionals to stay relaxed in spite of their workloads.
    Źródło:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica; 2016, 16, 2; 1-6
    1732-1360
    2083-3628
    Pojawia się w:
    Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Joint time-frequency and wavelet analysis - an introduction
    Autorzy:
    Majkowski, A.
    Kołodziej, M.
    Rak, R. J.
    Powiązania:
    https://bibliotekanauki.pl/articles/220841.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    frequency analysis
    time-frequency analysis
    short-time Fourier transform
    Gabor transform
    Wigner-Ville transform
    Cone-Shaped Transform
    wavelet analysis
    time-scale analysis
    wavelet decomposition
    filter banks
    wavelet packets
    Opis:
    A traditional frequency analysis is not appropriate for observation of properties of non-stationary signals. This stems from the fact that the time resolution is not defined in the Fourier spectrum. Thus, there is a need for methods implementing joint time-frequency analysis (t/f) algorithms. Practical aspects of some representative methods of time-frequency analysis, including Short Time Fourier Transform, Gabor Transform, Wigner-Ville Transform and Cone-Shaped Transform are described in this paper. Unfortunately, there is no correlation between the width of the time-frequency window and its frequency content in the t/f analysis. This property is not valid in the case of a wavelet transform. A wavelet is a wave-like oscillation, which forms its own “wavelet window”. Compression of the wavelet narrows the window, and vice versa. Individual wavelet functions are well localized in time and simultaneously in scale (the equivalent of frequency). The wavelet analysis owes its effectiveness to the pyramid algorithm described by Mallat, which enables fast decomposition of a signal into wavelet components.
    Źródło:
    Metrology and Measurement Systems; 2014, 21, 4; 741-758
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Infrared devices and techniques (revision)
    Autorzy:
    Rogalski, A.
    Chrzanowski, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/221154.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    frequency analysis
    time-frequency analysis
    short-time Fourier transform
    Gabor transform
    Wigner-Ville transform
    Cone-Shaped Transform
    wavelet analysis
    time-scale analysis
    wavelet decomposition
    filter banks
    wavelet packets
    Opis:
    The main objective of this paper is to produce an applications-oriented review covering infrared techniques and devices. At the beginning infrared systems fundamentals are presented with emphasis on thermal emission, scene radiation and contrast, cooling techniques, and optics. Special attention is focused on night vision and thermal imaging concepts. Next section concentrates shortly on selected infrared systems and is arranged in order to increase complexity; from image intensifier systems, thermal imaging systems, to space-based systems. In this section are also described active and passive smart weapon seekers. Finally, other important infrared techniques and devices are shortly described, among them being: non-contact thermometers, radiometers, LIDAR, and infrared gas sensors.
    Źródło:
    Metrology and Measurement Systems; 2014, 21, 4; 565-618
    0860-8229
    Pojawia się w:
    Metrology and Measurement Systems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-6 z 6

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