Determination of volume characteristics of cells from dynamical microscopic image

The algorithm for the determination of 3D-characteristics of a dynamic biological object based on the recovery of a stereo pair was proposed. Images for stereo pair construction were obtained via a single camera before and after the displacement of the object. The algorithm is based on the example of living one-celled organisms

Building detection by local region features in SAR images

The buildings are very complex for detection on SAR images, where the basic features of those are shadows. There are many different representations for SAR shadow. As result it is no possible to use convolutional neural network for building detection directly. In this article we give property analysis of SAR shadows of different type buildings. After that, each region (ROI) prepared for training of building detection is corrected with its own SAR shadow properties. Reconstructions of ROI will be put in a modified YOLO network for building detection with better quality result.The work was partially funded by Public Welfare Technology Applied Research Program of Zhejiang Province under Grant (No.LGJ18F020001, LGF18F030004, LGJ19F020002 , and LGF19F020016), and by National introduction project of senior foreign experts under Grant No.G20200216025. Introduction Project of Zhejiang Province under Grant (No.100), and project of BRFFI F18R-218 "Development and experimental research of descriptive methods for automatization of biomedical images analysis"

САМОАДАПТИРУЕМОЕ ПРОГРАММНОЕ ОБЕСПЕЧЕНИЕ ДЛЯ АНАЛИЗА ИЗОБРАЖЕНИЙ

The method for development of intelligent software for image analysis is described. It is based on control shell of scripts generating that are controlled by an intelligent agent in software. The method is based on a combination of features of dynamic libraries and interpreter with a lot of functions for image processing.Описывается методика разработки интеллектуального программного обеспечения для анализа изображений путем формирования управляющих скриптов интерпретатора, которые генерируются интеллектуальным агентом в программном обеспечении

МОРФОЛОГИЧЕСКИЙ И СПЕКТРАЛЬНЫЙ АНАЛИЗ ГИСТОЛОГИЧЕСКОЙ ТКАНИ С ИСПОЛЬЗОВАНИЕМ ГЛУБОКИХ СВЕРТОЧНЫХ СЕТЕЙ

The results of a study of the application of deep neural convolutional networks to hyperspectral images are presented.Представлены результаты исследования применения глубоких сверточных нейронных сетей к гиперспектральным изображениям

Morphological and spectral analysis of histological tissue with the use of deep convolutional networks

Представлены результаты исследования применения глубоких сверточных нейронных сетей к гиперспектральным изображениям

АЛГОРИТМ СКЕЛЕТИЗАЦИИ ОБЪЕКТОВ НА ТРЕХМЕРНЫХ РАСТРОВЫХ ИЗОБРАЖЕНИЯХ

A skeleton building algorithm in case of lack of memory is presented. Built skeleton is topologically equivalent to the original object. Despite the fact that data are processed locally, this algorithm preserves a skeleton global attribute - centeredness. It is parallel and divided into independent stages, each of which can be substituted with alternatives. The method is based on pseudo-distance maps and constructed skeleton can be used to calculate topological as well as morphological characteristics of the object.Представлен алгоритм построения скелета, топологически эквивалентного оригинальному объекту, в условиях, когда все данные не помещаются в оперативную память компьютера. Несмотря на то, что данные обрабатываются локально, сохраняется важная глобальная характеристика скелета - центральность. Алгоритм является параллельным и разделен на независимые шаги. Построенный скелет основан на псевдо-дистанционных картах и может быть использован для вычисления как топологических, так и морфологических характеристик

АЛГОРИТМ ОПРЕДЕЛЕНИЯ ХАРАКТЕРИСТИК КРОВОТОКА В СОСУДАХ ГЛАЗНОГО ДНА ПО ВИДЕОПОСЛЕДОВАТЕЛЬНОСТИ

The method of determination of the dynamic characteristics like the vessel diameter change, the linear and volume blood velocities in the vessels of the eye fundus is considered. Such characteristics allow to determine blood flow changes in the microvasculature affecting the blood flow in the brain, kidneys and coronary vessels. Developed algorithm includes four stages: the video sequence stabilization, the vessels segmentation with the help of a neural network, the determination of the instantaneous velocity in the vessels based on the optical flow and the analysis of the results.Рассматривается метод определения динамических количественных характеристик кровотока в сосудах глазного дна глаза, таких как изменение диаметра сосуда, линейная и объемная скорости кровотока. Данные характеристики позволяют определить изменения кровотока в микроциркуляторном русле, влияющие на кровоток в сосудах мозга, почек и коронарных сосудах. Разработанный алгоритм включает этапы стабилизации видеопоследовательности, сегментации сосудов с помощью нейронной сети, определения мгновенной скорости в сосуде на основе оптического потока, анализа полученных результатов.

Construction of a semi-automatic contour of areal objects on hyperspectral satellite images

In this article, we formalize the problem of constructing a semi-automatic contour of areal objects on satellite hyperspectral images, and present a solution algorithm using PCA and Dijkstra's algorithm. The contour is considered as the boundary of the object, which can be used for its segmentation and classification. The semi-automatic contour assumes reference points set by the operator. The formalization of the algorithm has been completed

SELF-Adaptability SOFTWARE FOR IMAGE ANALYSIS

The method for development of intelligent software for image analysis is described. It is based on control shell of scripts generating that are controlled by an intelligent agent in software. The method is based on a combination of features of dynamic libraries and interpreter with a lot of functions for image processing