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Visual Data Processing Framework for a Skin-Based Human Detection
Myrzin V., Tsoy T., Bai Y., Svinin M., Magid E.
gradients (RIHOG) features and binarized normed gradients (BING) pre-processing and skin segmentation
Algorithm of Preparation of Training Sample Using 3d-Modelling of Faces
Frolov, I., Samal, D.
The algorithm to preprocess the training sample of multi-class classifier support vector machine
Classification of point forms and establish a library for coding the skeleton of the binary images
Xunhuan, Ren, Konopelko, V. K.
the types of two-dimensional vectors and can be used to code the skeleton of the binary image were analyzed
Analysis of heterogeneous genomic samples using image normalization and machine learning
Basodi S.
preprocessing approach to transform irregular genomic data into normalized image data. Such representation
LAND-USE CHANGE IN NEW MOSCOW:FIRST OUTCOMES AFTER FIVE YEARS OF URBANIZATION
Vasenev V.I., Yaroslavtsev A.M., Vasenev I.I., Demina S.A., Dovltetyarova E.A.
8 images (30 m spectral resolution) and Sentinel - 2 images (10 m spectral resolution) were analyzed
Automated detection of COVID-19 coronavirus infection based on analysis of chest X-ray images by deep learning methods
Shchetinin, Evgenii Yu., Sevastyanov, Leonid A.
methodology consisting of the stage of pre-processing of X-ray images, augmentation and classification using
Automated detection of COVID-19 coronavirus infection based on analysis of chest X-ray images by deep learning methods; [Компьютерная система обнаружения COVID-19 по рентгеновским снимкам легких методами глубокого обучения]
Shchetinin E.Y., Sevastyanov L.A.
methodology consisting of the stage of pre-processing of X-ray images, augmentation and classification using
Адаптация метода границ Канни для подсчета количества бактерий на изображениях, получаемых с помощью цифрового микроскопа
Курочка, К. С., Башаримов, Ю. С.
A modified Canny algorithm is proposed for detecting and counting bacteria in microscopic images
Prospects for Using Pseudocolor Image Processing in the Analysis of Multiyear Time Series of Satellite Data in the Task of Assessing the State of Vegetation Cover
Terekhov A.G., Sagatdinova G.N., Mukhamediev R.I., Savin I.Yu., Amirgaliev E.N., Sairov S.B.
Satellite images and the Normalized Difference Vegetation Index (NDVI) are often used to monitor
Processing of Sar Amplitude Images with Posting the Results on Web Server
Ponomarenko, Maria R., Pimanov, Ilya Yu., Пономаренко, М.Р., Пиманов, И.Ю.
The paper presents the processing and analysis of COSMO-SkyMED and Sentinel-1A amplitude images

Страница 3 из 1868

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