A generalization of segmentation methods of quantiles and modes to the case of several images

The problem of segmentation by several images is considered for fragments of a scene containing a given object and its neighborhood. To solve this problem, generalizations of the well-known methods of quantiles and modes are proposed that are constructed on the concept of random distance. The results of computer experiments on the segmentation of model and quasireal scenes by the methods proposed are compared. © 2008 Pleiades Publishing, Ltd

An approach to estimation of image informativeness

In this paper, the concept of image informativeness is introduced, which allows one to compare images. The goal of comparison is to select the best image from the point of view of efficiency of predetermined object discovery in the scene with respect to geometrical features. The method for calculation of image informativeness is indicated for Bernoulli scenes without deciphering. For the case of locally isotropic scenes when necessary data for image informativeness calculation are unavailable, an informativeness estimation is suggested. © Pleiades Publishing, Ltd., 2009

Thermoelectric power of nondegenerate Kane semiconductors under the conditions of mutual electron-phonon drag in a high electric field

The thermoelectric power of nondegenerate Kane semiconductors with due regard for the electron and phonon heating, and their thermal and mutual drags is investigated. The electron spectrum is taken in the Kane two-band form. It is shown that the nonparabolicity of electron spectrum significantly influences the magnitude of the thermoelectric power and leads to a change of its sign and dependence on the heating electric field. The field dependence of the thermoelectric power is determined analytically under various drag conditions.Comment: 25 pages, RevTex formatted, 3 table

An approach to estimation of image informativeness

In this paper, the concept of image informativeness is introduced, which allows one to compare images. The goal of comparison is to select the best image from the point of view of efficiency of predetermined object discovery in the scene with respect to geometrical features. The method for calculation of image informativeness is indicated for Bernoulli scenes without deciphering. For the case of locally isotropic scenes when necessary data for image informativeness calculation are unavailable, an informativeness estimation is suggested. © Pleiades Publishing, Ltd., 2009

A generalization of segmentation methods of quantiles and modes to the case of several images

The problem of segmentation by several images is considered for fragments of a scene containing a given object and its neighborhood. To solve this problem, generalizations of the well-known methods of quantiles and modes are proposed that are constructed on the concept of random distance. The results of computer experiments on the segmentation of model and quasireal scenes by the methods proposed are compared. © 2008 Pleiades Publishing, Ltd

A generalization of segmentation methods of quantiles and modes to the case of several images

The problem of segmentation by several images is considered for fragments of a scene containing a given object and its neighborhood. To solve this problem, generalizations of the well-known methods of quantiles and modes are proposed that are constructed on the concept of random distance. The results of computer experiments on the segmentation of model and quasireal scenes by the methods proposed are compared. © 2008 Pleiades Publishing, Ltd

An approach to estimation of image informativeness

In this paper, the concept of image informativeness is introduced, which allows one to compare images. The goal of comparison is to select the best image from the point of view of efficiency of predetermined object discovery in the scene with respect to geometrical features. The method for calculation of image informativeness is indicated for Bernoulli scenes without deciphering. For the case of locally isotropic scenes when necessary data for image informativeness calculation are unavailable, an informativeness estimation is suggested. © Pleiades Publishing, Ltd., 2009

A generalization of segmentation methods of quantiles and modes to the case of several images

The problem of segmentation by several images is considered for fragments of a scene containing a given object and its neighborhood. To solve this problem, generalizations of the well-known methods of quantiles and modes are proposed that are constructed on the concept of random distance. The results of computer experiments on the segmentation of model and quasireal scenes by the methods proposed are compared. © 2008 Pleiades Publishing, Ltd

An approach to estimation of image informativeness

In this paper, the concept of image informativeness is introduced, which allows one to compare images. The goal of comparison is to select the best image from the point of view of efficiency of predetermined object discovery in the scene with respect to geometrical features. The method for calculation of image informativeness is indicated for Bernoulli scenes without deciphering. For the case of locally isotropic scenes when necessary data for image informativeness calculation are unavailable, an informativeness estimation is suggested. © Pleiades Publishing, Ltd., 2009