Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Dmitry P. Nikolaev"'
Autor:
Marina Chukalina, Yu. S. Krivonosov, Ya. L. Shabel’nikova, D. A. Ivanov, Anastasia Ingacheva, Dmitry P. Nikolaev, Alexey Buzmakov
Publikováno v:
Journal of Surface Investigation: X-ray, Synchrotron and Neutron Techniques. 14:978-990
In this study we present an approach used to truncate the empty space outside ROI on a stack of 2D tomographic projections by the means of locating the specific region of interest (ROI). In this work we shall consider the following definition of the
Publikováno v:
ICMV
In the paper we introduce a novel bipolar morphological neuron and bipolar morphological layer models. The models use only such operations as addition, subtraction and maximum inside the neuron and exponent and logarithm as activation functions for t
Publikováno v:
ICMV
Computer vision systems based on convolutional neural networks are being rapidly introduced in the field of precision agriculture to solve the problem of scene recognition. Convolutional networks allow performing high-precision recognition, but a sig
Autor:
Pavel Bezmaternykh, Dmitry P. Nikolaev
Publikováno v:
ICMV
The majority of document image analysis systems use a document skew detection algorithm to simplify all its further processing stages. A huge amount of such algorithms based on Hough transform (HT) analysis has already been proposed. Despite this, we
Publikováno v:
ICMV
The paper considers the problem of images cropping obtained by projective transformation of source images. The problem is highly relevant to analysis of projective distorted images. We propose two cropping algorithms based on estimation of pixel stre
Publikováno v:
ICMV
This work focuses on the Fast Hough Transform (FHT) algorithm proposed by M.L. Brady. We propose how to modify the standard FHT to calculate sums along lines within any given range of their inclination angles. We also describe a new way to visualise
Publikováno v:
ICMV
The paper considers the problem of 2D art identification in photos acquired with mobile devices under the conditions of museum exhibition. The proposed approach is based on a compact description of an image with a constellation of keypoints and corre
Publikováno v:
ICMV
In this work we discuss the known algorithms for linear colour segmentation based on a physical approach and propose a new modification of segmentation algorithm. This algorithm is based on a region adjacency graph framework without a pre-segmentatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4869f9d0b226d5b147c102a6fff97099
http://arxiv.org/abs/1901.00534
http://arxiv.org/abs/1901.00534
Publikováno v:
ICMV
In this paper we propose a novel method for vanishing points detection based on convolutional neural network (CNN) approach and fast Hough transform algorithm. We show how to determine fast Hough transform neural network layer and how to use it in or
Publikováno v:
ICMV
The paper examines the problem of word boundaries precise localization in document text zones. Document processing on a mobile device consists of document localization, perspective correction, localization of individual fields, finding words in separ