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Wyszukujesz frazę "mean-median filtering" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
An application of robust filters in ECG signal processing
Autorzy:
Pander, T.
Powiązania:
https://bibliotekanauki.pl/articles/333513.pdf
Data publikacji:
2006
Wydawca:
Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Tematy:
filtrowanie robust
EKG
EMG
filtrowanie mean-median
robust filtering
ECG
mean-median filtering
Opis:
Robust filtering is a very promising area in application of biomedical signal processing. Signals are usually recorded with noise, which has various characteristics of baseline wander to very impulsive nature. The robust technique has been recently proposed as the tool to eliminate outliers in data samples. The main purpose of this paper is to present mean-median filters in application of ECG signal processing. The presented filter is evaluated in the presence of real muscle noise and simulated impulsive noise as a Gaussian-Laplace mixture. In order to suppress a noise with the best possible means, the special expression is proposed. The measure of distortions, which are introduced to a signal after operation of filtering, is estimated using the normalized mean square error. This factor is used to compare a quality of considered filters. Experimental results show improved performance according to the reference filters.
Źródło:
Journal of Medical Informatics & Technologies; 2006, 10; 113-123
1642-6037
Pojawia się w:
Journal of Medical Informatics & Technologies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A Comparative Study of Various Edge Detection Techniques for Underwater Images
Autorzy:
Awalludin, Ezmahamrul Afreen
Arsad, Tengku Noorfarahana T.
Yussof, Wan Nural Jawahir Hj Wan
Bachok, Zainudin
Hitam, Muhammad Suzuri
Powiązania:
https://bibliotekanauki.pl/articles/2058499.pdf
Data publikacji:
2022
Wydawca:
Instytut Łączności - Państwowy Instytut Badawczy
Tematy:
edge detection
mean square error
median filtering
peak signal to noise
wiener filtering
Opis:
Nowadays, underwater image identification is a challenging task for many researchers focusing on various ap plications, such as tracking fish species, monitoring coral reef species, and counting marine species. Because underwater im ages frequently suffer from distortion and light attenuation, pre-processing steps are required in order to enhance their quality. In this paper, we used multiple edge detection techniques to determine the edges of the underwater images. The pictures were pre-processed with the use of specific techniques, such as enhancement processing, Wiener filtering, median filtering and thresholding. Coral reef pictures were used as a dataset of underwater images to test the efficiency of each edge detection method used in the experiment. All coral reef image datasets were captured using an underwater GoPro camera. The performance of each edge detection technique was evaluated using mean square error (MSE) and peak signal to noise ratio (PSNR). The lowest MSE value and the highest PSNR value represent the best quality of underwater images. The results of the experiment showed that the Canny edge detection technique outperformed other approaches used in the course of the project.
Źródło:
Journal of Telecommunications and Information Technology; 2022, 1; 23--33
1509-4553
1899-8852
Pojawia się w:
Journal of Telecommunications and Information Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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