This article describes the developed method of adaptive-oriented filtration of digital images in the spatial domain, which is designed to remove noise and enhance the visual quality of images. as the kernel of filter an oriented two-dimensional gaussian distribution is used. as a result of this filtration, the contours of the images are blurred slightly, since the filtration is mainly carried out along the contour direction, that is, the filter parameters are adapted to each image region. the proposed method of image filtering is implemented in Matlab.
Vladimir Yeliseyev, Tatiana Ruzova, Alexander Tolstopyat, Leonid Fleer, Anatoly Shevchenko, Sergey Shevchenko, Andrzej Kotyra, Akmaral Abisheva, Aliya Tergeusizova
The results of experimental and theoretical studies are presented for the case when the vessel with water performs periodic reciprocating and oscillatory movements. The problem was solved in the linear approximation using the potential equation. From the results of experiments and an analytical analysis of the problem it follows that the first resonance frequency of the oscillation of a liquid in a vessel plays an important role in the character of the motion. At the same time, bifurcation occurs in the region of resonant frequencies, i.e. transitions from the plane motion of the liquid to the rotational motion and vice versa.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.