Wydział Elektrotechniki, Elektroniki, Informatyki i Automatyki / Faculty of Electrical, Electronic, Computer and Control Engineering / W2

Stały URI zbioruhttp://hdl.handle.net/11652/2

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  • Pozycja
    Hand tracking, palm and finger recognition towards touch-less device interaction
    (Wydawnictwo Politechniki Łódzkiej, 2016) Jelliti, Ibrahim; Grudzień, Krzysztof; Romanowski, Andrzej; Woźniak, Paweł
    Hand recognition is a computer technology used to spot a hand as well as to determine the location of hand and its position in arbitrary digital images. The advances in mobile industry have made the complex calculations possible and feasible in smartphones. Taking advantage of these developments, we aimed to develop a gesture recognition application based on a computer vision and image processing algorithms. The application is be able to recognize the fingers of the hand and tracking their moves to perform some interaction with the mobile environment. Presented system is a technical platform for further study of mobile-mixed reality in the field of human-computer interaction.
  • Pozycja
    A review of classical and fractional derivative order methods for edge detection in image processing
    (Wydawnictwo Politechniki Łódzkiej, 2016) Zerka, Fadila; Grudzień, Krzysztof; Romanowski, Andrzej
    The main goal of this work is compare between the classical edge detectors and an approach of edge detection based on fractional differentiation. Classical edge detectors based on first order derivative: Prewitt, Sobel and Canny and one edge detector based on second order derivative: Laplacian is discussed. Also the 2nd order fractional differentiation approach of edge detection is presented. To check the effect of image smoothing on edge detection results additionally, for results comparison between different methods, a smoothing filter is applied for Prewitt, Sobel, Laplacian. The comparison is conducted from time consuming point of view and quality of edge detection level.