scholarly journals Analysis of Tree Stand Horizontal Structure Using Random Point Field Methods

2015 ◽  
Keyword(s):  
Random Point ◽  
Tree Stand ◽  
Field Methods ◽  
Horizontal Structure ◽  
Point Field

scholarly journals Cauchy–Laguerre Two-Matrix Model and the Meijer-G Random Point Field

2013 ◽  
Vol 326 (1) ◽  
pp. 111-144 ◽  
Author(s):  
M. Bertola ◽  
M. Gekhtman ◽  
J. Szmigielski
Keyword(s):  
Matrix Model ◽  
Random Point ◽  
Point Field

Method of features construction for remote sensing images based on the characteristics of random point fields

2017 ◽  
Vol 2017 (45) ◽  
pp. 90-95
Author(s):  
R.Ya. Kosarevych ◽  
◽  
O.A. Lutsyk ◽  
B.P. Rusyn ◽  
V.V. Korniy ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Dynamic Range ◽  
Texture Features ◽  
Input Image ◽  
Image Resolution ◽  
Random Point ◽  
Local Maxima ◽  
Image Fragment ◽  
Point Field ◽  
Field Element

Texture features are widely used in remote sensing image classification. In most cases they are extracted from grayscale images without taking color information into consideration. The texture descriptors, which consist of characteristics of random point fields formed for pixels of distinct intensity of grayscale and color band images are presented. The input image is divided into fragments for the elements of each of which the histogram is constructed and their local maxima are determined. Size of fragments are chosen depending on image resolution. For each of the intensity of the dynamic range of the image, a random point field, as a set of geometric centers of fragments, is formed. By the formed configuration, each field is classified as cluster, regular or random. To form a description of image elements a distribution of the number of field elements for each intensity and fragment is constructed. Separately, the vectors of the point field element for each intensity in the image fragment and the point field element for the selected intensity are formed. Experimental results demonstrate that proposed descriptors yield performance compared to other state-of-the-art texture features.

On a Quantum Model of Brain Activities — Distribution of the Outcomes of EEG-Measurements and Random Point Fields

2012 ◽  
Vol 19 (04) ◽  
pp. 1250025 ◽  
Author(s):  
Karl-Heinz Fichtner ◽  
Kei Inoue ◽  
Masanori Ohya
Keyword(s):  
Stochastic Process ◽  
Probability Theory ◽  
Probability Distributions ◽  
Quantum States ◽  
Random Point ◽  
Quantum Model ◽  
Classical Probability ◽  
Point Configurations ◽  
Point Field ◽  
The Brain

Considering models based on classical probability theory, states of signals in the brain should be identified with probability distributions of certain random point fields representing the configuration of excited neurons. Then the outcomes of EEG-measurements can be considered as random variables being certain functions of that random point field. In practice, specialists use certain statistical methods evaluating the outcomes of the sequence of these measurements. To make these statistical investigations precise, one should know the distribution of the stochastic process on the space of point configurations representing the time evolution of the configuration of excited neurons in the brain. Up to now that distribution is totally unknown. In this paper we consider time evolutions of random point fields as well as the distribution of the outcomes of EEG-measurements related to unitary evolutions of certain quantum states used in [4, 5, 10 – 14] in order to describe activities of the brain.

Near-field scanning optical microscopy

1986 ◽  
Vol 44 ◽  
pp. 642-643
Author(s):  
E. Betzig ◽  
A. Harootunian ◽  
M. Isaacson ◽  
A. Lewis
Keyword(s):  
Near Field ◽  
Optical Microscope ◽  
Visible Radiation ◽  
Field Methods ◽  
Optical Elements ◽  
Optical Region ◽  
Order Of Magnitude ◽  
Nondestructive Imaging ◽  
Scanning Optical Microscopy ◽  
Near Field Scanning

In general, conventional methods of optical imaging are limited in spatial resolution by either the wavelength of the radiation used or by the aberrations of the optical elements. This is true whether one uses a scanning probe or a fixed beam method. The reason for the wavelength limit of resolution is due to the far field methods of producing or detecting the radiation. If one resorts to restricting our probes to the near field optical region, then the possibility exists of obtaining spatial resolutions more than an order of magnitude smaller than the optical wavelength of the radiation used. In this paper, we will describe the principles underlying such "near field" imaging and present some preliminary results from a near field scanning optical microscope (NS0M) that uses visible radiation and is capable of resolutions comparable to an SEM. The advantage of such a technique is the possibility of completely nondestructive imaging in air at spatial resolutions of about 50nm.

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