Wyniki wyszukiwania - BazTech

1

Image retrieval of MRI brain tumour images based on SVM and FCM approaches

Bansal Sonia, Mehan Vineet

Bio-Algorithms and Med-Systems

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2021

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Vol. 17, no. 3

173--179

EN

Objectives: The key test in Content-Based Medical Image Retrieval (CBMIR) frameworks for MRI (Magnetic Resonance Imaging) pictures is the semantic hole between the low-level visual data caught by the MRI machine and the elevated level data seen by the human evaluator. Methods: The conventional component extraction strategies centre just on low-level or significant level highlights and utilize some handmade highlights to diminish this hole. It is important to plan an element extraction structure to diminish this hole without utilizing handmade highlights by encoding/consolidating low-level and elevated level highlights. The Fleecy gathering is another packing technique, which is applied in plan depiction here and SVM (Support Vector Machine) is applied. Remembering the predefinition of bunching amount and enlistment cross-section is until now a significant theme, a new predefinition advance is extended in this paper, in like manner, and another CBMIR procedure is suggested and endorsed. It is essential to design a part extraction framework to diminish this opening without using painstakingly gathered features by encoding/joining low-level and critical level features. Results: SVM and FCM (Fuzzy C Means) are applied to the power structures. Consequently, the incorporate vector contains all the objectives of the image. Recuperation of the image relies upon the detachment among request and database pictures called closeness measure. Conclusions: Tests are performed on the 200 Image Database. Finally, exploratory results are evaluated by the audit and precision.

2

Mechanizmy wyszukiwania obrazem w Oracle 11g

Czarnik E., Dymora P., Mazurek M.

Zeszyty Naukowe Politechniki Rzeszowskiej. Elektrotechnika

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2017

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z. 36 [296], nr 3

5--18

PL

W bazach danych zawierających dane graficzne (np. zdjęcia), niejednokrotnie zachodzi potrzeba szybkiego odnalezienia podobnego obrazu. W bazach danych np. firm magazynowych, ważną kwestią może być eliminacja duplikującego się asortymentu posiadającego różne opisy, dokumentację, a faktycznie posiadającego te same właściwości fizyczne, np. poprzez porównanie wyglądu poszczególnych produktów na podstawie posiadanego zdj ęcia. Naprzeciw takim potrzebom wychodzi Oracle ze standardem SQL/MM, który udostępnia metody umożliwiające przeszukiwanie baz danych za pomocą właściwości wizualnych tzw. wyszukiwanie obrazem. Artykuł prezentuje możliwości technologii Oracle 11g obsługującej typy składowania danych multimedialnych (w tym danych graficznych) oraz przykład stworzonej aplikacji internetowej umożliwiającej implementację tych mechanizmów i wyszukiwanie obrazem. Aplikacja została wykorzystana do przeprowadzenia badań wydajnościowych różnych metod wyszukiwania obrazem.

EN

The main aim of this paper is to present mechanisms and types of multimedia data storage in Oracle 11g Database System along with a web application that allows reverse image search mechanism implementation in order to test its efficiency. First part shows Oracle Multimedia and SQL/MM standard, with supported data types, metadata and methods. The second part is focused on presentation the original database application with appropriate tables and procedures implementing reverse image search. The application with appropriate database is used to determinate on the base of series tests the most efficient image search methods.

3

Upwelling dynamics in the Baltic Sea studied by a combined SAR/infrared satellite data and circulation model analysis

Gurova E., Lehmann A., Ivanov A.

Oceanologia

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2013

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No. 55 (3)

687--707

EN

Data from the space-borne synthetic aperture radar (SAR) aboard the Envisat satellite and MODIS spectroradiometers on board the Terra/Aqua satellites, and the high resolution Sea Ice-Ocean Model of the Baltic Sea (BSIOM) have been used to investigate two upwelling events in the SE Baltic Sea. The combined analysis was applied to the upwelling events in July 2006 along the coasts of the Baltic States, and in June 2008 along the Polish coast and Hel Peninsula. Comparisons indicated good agreement between the sea surface temperatures and roughness signatures detected in satellite imagery and model results. It is shown that BSIOM can simulate upwelling events realistically. The utilization of modelled hydrodynamics and wind stress data together with SAR and SST information provides an extended analysis and deeper understanding of the upwelling processes in the Baltic Sea. During the active phase of upwelling when the wind is strong, the resulting coastal jet is controlled by vorticity dynamics related to depth variations in the direction of the flow. Typical upwelling patterns are related to the meandering coastal jet and thus associated with topographic features. The longshore transport of the coastal jet is of the order of 104 m3 s-1, and the offshore transport at the surface is of the order of 103 m3 s-1,, which respectively correspond to the total and largest river runoff to the Baltic Sea.

4

Digital speckle correlation method used to measure blood flow velocity

Yan H. T., Zhen Z. Q., Tang Z. X.

Optica Applicata

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2009

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Vol. 39, nr 1

101--107

EN

The digital speckle correlation method (DSCM) used to measure blood flow velocity is here analyzed. The experiment is designed to obtain the dynamic speckle pattern of blood which is shot by CCD. Then the DSCM is used to process the sequential images and the experiment is simulated. The experimental results show that the DSCM can measure blood flow velocity, and have a good agreement with the simulation results.

5

Analysis of informative feature changes on color images using mass-parallel processing

Doudkin A., Ganchenko V., Petrovsky A., Sobkowiak B.

Journal of Research and Applications in Agricultural Engineering

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2009

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Vol. 54, nr 2

32-36

EN

Remote sensing methods allow effective detecting field areas that are infected by plant diseases. The infection detected on early stages of its development reduces costs of plants protective measures. In the paper the problems of disease feature extraction as well as disease identification are considered. Three groups of potato plants with 25 images in each group were under experimental observation in laboratory conditions. The proposed algorithm of automatic definition of appearance i changes has shown good result of objects identification at use of an attribute of change of color characteristics of object. The greatest influence on job of a method renders: presence in the staff of extraneous subjects and the shadows, having color of object; non-uniformity of illumination that creates additional handicaps.