Powered by OpenAIRE graph
Found an issue? Give us feedback
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ Izvestiâ vysših učeb...arrow_drop_down
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
Izvestiâ vysših učebnyh zavedenij Priborostroenie
Article . 2009
Data sources: CyberLeninka - Russian open access scientific library
Claim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

Компьютерная обработка биомедицинских многоканальных изображений с использованием визуализации меры сходства с эталоном

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2009 Russian Publisher:Федеральное государственное автономное образовательное учреждение высшего образования «Санкт-Петербургский национальный исследовательский университет информационных технологий, механики и оптики»Journal:Известия высших учебных заведений. Приборостроение (issn: 0021-3454, Copyright policy )

Компьютерная обработка биомедицинских многоканальных изображений с использованием визуализации меры сходства с эталоном

Abstract

Представлена методика обработки многоспектральных изображений препаратов, используемых в медико-биологических исследованиях. Основой методики является целенаправленная визуализация и интерактивное выделение интересующих исследователей объектов. При целенаправленной визуализации используются все имеющиеся каналы многоспектрального изображения, кроме того могут быть использованы текстурные и градиентные признаки, а также априорная информация.

A method for processing of multispectral images of biomedical preparation is proposed. The method is based on task-oriented visualization and interactive selection of examined objects. Every band of multispectral image is used for the visualization. Textural, gradient features and priory information may also be used for the visualization.

Keywords

ПРЕДВАРИТЕЛЬНАЯ ОБРАБОТКА,ВЫДЕЛЕНИЕ ОБЪЕКТОВ НА ИЗОБРАЖЕНИИ,SELECTION OF OBJECTS IN IMAGES,МЕДИКО-БИОЛОГИЧЕСКИЕ ИЗОБРАЖЕНИЯ,BIOMEDICAL IMAGES,МИКРОСКОПИЯ,MICROSCOPY,МНОГОКАНАЛЬНЫЕ (МНОГОСПЕКТРАЛЬНЫЕ) ИЗОБРАЖЕНИЯ,MULTISPECTRAL IMAGES,PREPROCESSING

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
bronze