Informacja

Drogi użytkowniku, aplikacja do prawidłowego działania wymaga obsługi JavaScript. Proszę włącz obsługę JavaScript w Twojej przeglądarce.

English (EN)·Polski (PL)·Yкраїнський (UK)
Przejdź do strony domowej biblioteki Centralna Biblioteka Wojskowa Link otwiera się w nowym oknie Logo biblioteki Prolib Integro - strona głównaCentralna Biblioteka Wojskowa

Wyszukujesz frazę "Image analysis" wg kryterium: Temat

  Lista filtrów
Wyrównaj
Wyświetlanie 1-15 z 531
Tytuł:
ZASTOSOWANIA ANALIZY OBRAZU W NIENISZCZĄCYCH BADANIACH OBIEKTÓW ZABYTKOWYCH. WYBRANE PRZYKŁADY
THE APPLICATION OF IMAGE ANALYSIS IN NON-INVASIVE RESEARCH
Autorzy:
Sobczyk, Jacek
Obara, Bogusław
Frączek, Piotr
Sobczyk, Joanna
Powiązania:
https://bibliotekanauki.pl/articles/539494.pdf
Data publikacji:
2006
Wydawca:
Narodowy Instytut Dziedzictwa
Tematy:
HISTORICAL OBJECTS
IMAGE ANALYSIS
Opis:
Non-destructive research of historical objects makes possible to collect valuable information concerning technical construction and the state of preservation. Observations and analyses carried out in visible light, UV, infrared as well as under the impact of X-ray radiation provide an image of the object's surface and its inner structure. The outcome obtained in this manner is registered most often in the form of digital photographs. Such a form of recording together with suitable computer techniques create the possibility of systematizing and making informations collected from the photograph more precise. Presented publication deals with the possibility of applying computer analysis techniques into nondestructive studies of works of art. This is an attempt at elaborating a method (or a tool) which will improve the examination of historical objects. The example of three selected objects from the collections of the National Museum in Krakow presents various possibilities of computer analysis as well as its application in suitable research. Such a method could become useful in assessing the state of the preservation of the object as well as its technical structure or manner of execution. The article, of a purely reconnaissance nature, is a collective publication of the Laboratory of Non-Destructive Analysis and Research of Historic Objects of the National Museum in Krakow and the Strata Mechanics Research Institute of the Polish Academy of Sciences in Krakow.
Źródło:
Ochrona Zabytków; 2006, 2; 69-78
0029-8247
Pojawia się w:
Ochrona Zabytków
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Flotation kinetic tracking of sand contaminated with hydrocarbons : image analysis of pulp color changes in time
Autorzy:
Acuña, Claudio
Humire, José
Leiva, Claudio
Powiązania:
https://bibliotekanauki.pl/articles/28838529.pdf
Data publikacji:
2023
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
flotation
organic
image analysis
Opis:
Hydrocarbon contamination in the environment poses a significant challenge, and various control methods have been explored. Soil remediation by flotation has been proposed as an effective approach. This method involves the separation of hydrophobic compounds, such as soil hydrocarbons, by introducing air into a stirred reactor containing the soil pulp designated for remediation. Experiments were conducted using a 5 L Batch flotation cell to evaluate operating conditions. These experiments focused on obtaining flotation kinetics with different organic mixtures, including fine sands measuring under 150 μm. The experimental design encompassed airflow, hydrocarbon concentration, and surfactant dosage. The research utilized a diluted pulp (3% solids) with a high organic concentration (8 and 17 g/L). Flotation kinetics were measured by developing an innovative technique based on pulp color and image processing software. This technique facilitated the tracking of concentration changes over time under Beer-Lambert's Law. Subsequently, the results were adjusted using kinetic models commonly employed in mineral flotation, including the first-order, Kelsall, and Klimpel models. This comprehensive analysis sought to elucidate the underlying phenomenology and assess the potential for industrial-scale implementation. The laboratory findings indicate the possibility of achieving recoveries of up to 87%, with a first-order kinetic constant of 0.7 (1/min). Both the gas flow rate and the addition of surfactant exert substantial influence on this constant, consistent with the observed phenomenology of this study. This study explores the integration of image analysis in flotation for hydrocarbon-contaminated soil remediation. The research aims to optimize remediation strategies by examining variables such as Beer-Lambert's law and prevalent kinetic models. The study focuses on scalable, eco-friendly decontamination methods, emphasizing enhanced process control and comprehension within soil flotation systems.
Źródło:
Physicochemical Problems of Mineral Processing; 2023, 59, 5; art. no. 176307
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
MRI image analysis in patients with a tumor of the central nervous system : an attempt of developing a management algorithm
Analiza obrazu MRI u chorych z guzem ośrodkowego układu nerwowego : próba opracowania algorytmu postępowania
Autorzy:
Śniegocki, M.
Nowacka, A.
Fisz, J.
Śniegocka, A.
Buczkowski, M.
Powiązania:
https://bibliotekanauki.pl/articles/389840.pdf
Data publikacji:
2011
Wydawca:
Politechnika Bydgoska im. Jana i Jędrzeja Śniadeckich. Wydawnictwo PB
Tematy:
tumor
MRI image
angiogenesis
image analysis
Opis:
Magnetic resonance imaging study is currently the reference method for the detection and diagnosis of the central nervous system tumors. A large number of tumors, especially high-grade, has a higher water content in the cells, which results in prolongation of MRI T1 and T2 what appearance as increased signal intensity in in T2-weighted images and the reduction in T1-weighted images. MRI can be performed with administration of contrast agent, which shortens T1 and increases signal on T1-weighted sequences. This allows to identify areas of increased angiogenesis), which is the exponent of the cancer malignancy degree and its biological activity. Obtained MRI images are analyzed and evaluated by a radiologist and a clinician. Most of the time it is the "by the eye" analysis, which is based on the MRI image evaluation by the generally accepted radiological standards. However, this method is relatively inaccurate. which in turn can bring to the wrong diagnosis of the disease and implementation or even lack of implementation of appropriate treatment. More and more researches are conducted in this area, but developed methods are usually very complicated and difficult to carry out by the "layman" which is the clinician. That is why the attempt is made, to develop a simple and clear algorithm for MRI image analysis in patients with the central nervous system tumors, allowing for quick and objective evaluation of magnetic resonance imaging study.
Badanie metodą rezonansu magnetycznego jest aktualnie metodą referencyjną przy wykrywaniu i diagnozowaniu nowotworów centralnego układu nerwowego. Duża część nowotworów, zwłaszcza o wysokim stopniu złośliwości, charakteryzuje się większą zawartością wody w komórkach, co w badaniu MRI skutkuje wydłużeniem T1 i T2, uwidocznionym jako nasilenie sygnału w obrazach T2-zależnych oraz jego obniżeniem w obrazach T1-zależnych. MRI można przeprowadzić z podaniem środka kontrastowego, co powoduje skrócenie czasu T1 i podniesienie
Źródło:
Zeszyty Naukowe. Telekomunikacja i Elektronika / Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy; 2011, 15; 49-61
1899-0088
Pojawia się w:
Zeszyty Naukowe. Telekomunikacja i Elektronika / Uniwersytet Technologiczno-Przyrodniczy w Bydgoszczy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Weather and a part of day recognition in the photos using a KNN methodology
Autorzy:
Krzywicki, T.
Powiązania:
https://bibliotekanauki.pl/articles/298048.pdf
Data publikacji:
2018
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie
Tematy:
image analysis
machine learning
classification
Opis:
This article presents a proposal for recognizing the weather and part of a day in digital photos encoded in the bitmap format, based on auctorial edge detection algorithm of horizon to demarcate the sky and k-nearest neighbours algorithm, to classify the daytime in the picture as “day” or “night” and to classify the weather as “sunny” or “cloudy”. To verify the effectiveness of the classification the Internal Bagging-5 model was applied. The data for surveys in the form of pictures was prepared on self-provision. To test the method in a different location, data from the Internet was used.
Źródło:
Technical Sciences / University of Warmia and Mazury in Olsztyn; 2018, 21(4); 291-302
1505-4675
2083-4527
Pojawia się w:
Technical Sciences / University of Warmia and Mazury in Olsztyn
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Determining rock pore space using image processing methods
Autorzy:
Mazurkiewicz, Ł.
Młynarczuk, M.
Powiązania:
https://bibliotekanauki.pl/articles/184751.pdf
Data publikacji:
2013
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
porosity
image analysis
mathematical morphology
Opis:
This paper presents the possibilities of using image processing for determining effective porosity in carbonate and terrigenous rocks. For the purpose of the research, an algorithm was created, which automatically determines the percentage of pore space, based on the analysis of video sequences registered with the use of a microscope. Up to this point stereological research used for describing rock porosity was conducted manually, which is both troublesome and time consuming. The proposed algorithm uses a series of transformation operations such as: non-context operations, contextual operations and morphological transformations. The presented algorithm was tested on video sequences of thin sections of carbonates from Buszewo and Kościan, and sandstones from Dobrzyca and Solec. The obtained results show, that the method of automatic video sequence analysis used for detection and measurement of porosity leads to satisfying results.
Źródło:
Geology, Geophysics and Environment; 2013, 39, 1; 45-54
2299-8004
2353-0790
Pojawia się w:
Geology, Geophysics and Environment
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Lokalizacja tekstu w obrazie
Localization of text in images
Autorzy:
Pazio, M.
Powiązania:
https://bibliotekanauki.pl/articles/153776.pdf
Data publikacji:
2008
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
image analysis
text detection algorithms
Opis:
W naturalnym otoczeniu człowieka znajduje się duża ilość łatwo rozpoznawalnej informacji przedstawionej w postaci znaków graficznych i tekstu. Informacja taka jest bardzo przydatna w poruszaniu się w środowisku miejskim. Niestety, osoby z upośledzonymi funkcjami wzroku w sposób oczywisty pozbawione są możliwości korzystania z tego rodzaju przekazu. Istniejące na rynku systemy rozpoznawania tekstu (OCR) nie są niestety dostosowane do rozpoznawania tekstu zawartego w obrazach zarejestrowanych kamerą czy aparatem cyfrowym. W artykule przedstawiono, opracowane w Katedrze Systemów Automatyki Wydziału ETI PG, algorytmy wyszukiwania tekstu w obrazie oraz jego przetwarzania do postaci umożliwiającej rozpoznanie przez system OCR i odczytania treści za pomocą syntezatora mowy.
The system capable of localizing and reading aloud text embedded in natural scene images can be very helpful for blind and visually impaired persons - providing information useful in everyday life and increasing their confidence and autonomy. Even though the currently available optical character recognition (OCR) programs are fast and accurate, most of them fail to recognize text embedded in natural scene images. The goal of the algorithm described in this paper is to localize text-like image regions and pre-process them in a way that will make OCR work more reliably. The approach described in the paper is based on color image segmentation and segment shape analysis. Preliminary tests have shown that the proposed algorithm offers satisfactory detection rate and is pretty robust to typical text distortions, such as slant, tilt and bend.
Źródło:
Pomiary Automatyka Kontrola; 2008, R. 54, nr 3, 3; 153-156
0032-4140
Pojawia się w:
Pomiary Automatyka Kontrola
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Similarity analysis in medical image databases
Autorzy:
Rumiński, J.
Powiązania:
https://bibliotekanauki.pl/articles/1954510.pdf
Data publikacji:
1999
Wydawca:
Politechnika Gdańska
Tematy:
image retrieval
image analysis
descriptors
query algebra
Opis:
The review of methods of similarity analysis of medical images is presented. Feature extraction, feature representation and different concepts of image query algebra problems are described and discussed from the medical application point of view. New algorithms based on medical image regularity description and intensity description are proposed. As a conclusion a Java application "ObrazMed" for content based medical image analysis is presented.
Źródło:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk; 1999, 3, 4; 419-444
1428-6394
Pojawia się w:
TASK Quarterly. Scientific Bulletin of Academic Computer Centre in Gdansk
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Method of determining the volume of forming gas bubbles
Autorzy:
Rząsa, M.
Czapla, B.
Powiązania:
https://bibliotekanauki.pl/articles/114470.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
image analysis
gas bubbles
measurement volume
Opis:
The paper presents a method of determining the volume of gas bubble formation. This issue is important because of the choice of parameters in the processes of mass exchange between gas and liquid. The idea of measurement method is based on filming the formation of gas bubbles, and on this basis is made image analysis process. These papers describe the steps relevant the separation of gas bubble image and calculations of its volume. In addition a sample researches have conducted, for whom defined the uncertainty of measurement. Analysis of the results determined the boundary intervals, at which a change in the pattern forming bubbles occurs, which results in that the diameter of the bubbles formed strongly depends on the gas stream emerging from the nozzle.
Źródło:
Measurement Automation Monitoring; 2015, 61, 2; 35-38
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Segmentation Based on Determinate Chaos of Histological Specimen Images
Autorzy:
Orel, V.
Gusynin, A.
Selezneva, H.
Kolesnik, S.
Stendyk, H.
Komisarova, H.
Powiązania:
https://bibliotekanauki.pl/articles/115899.pdf
Data publikacji:
2013
Wydawca:
Fundacja na Rzecz Młodych Naukowców
Tematy:
image analysis
segmentation
histological specimen
neuroblastoma
Opis:
Neuroblastoma is one of the most abundant tumors in infancy and ranks the fourth place among all malignant tumors of children, after acute leukemia, tumors of central nervous system and malignant lymphomas. Histological examination of atypical cell structures is mandatory for diagnosing and forecasting of neoplasm growth .. At present, the image processing of histological specimens is made by a professional histologist manually and is based on visual perception of the histologist. Naturally, visual approach has some shortcomings. Therefore, for objective estimation of medical images, increasing diagnosis accuracy and information processing speed, the computer analysis of histological images is a current need. In this paper, the features of the digital images of histological specimens and methods for digital analysis of medical images are presented. An innovative information system for instant diagnosis of the stage of neuroblastoma based on digital images analysis of histological specimens is developed. In presented studies, a new algorithm, based on deterministic chaos of digital images of histological specimens which uses original formalized indicators (irregularity of contoured zone of diagnostic interest, its structures heterogeneity including cells, nuclei, itochondrion etc.) have been implemented.
Źródło:
Challenges of Modern Technology; 2013, 4, 1; 3-8
2082-2863
2353-4419
Pojawia się w:
Challenges of Modern Technology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Using the Principles of Image Analysis in the Assessment of the Proportion of Retained Austenite in the Case Hardened Layers
Autorzy:
Váňová, P.
Sojka, J.
Kulová, T.
Jokešová, K.
Purtátor, P.
Spinu, A.
Powiązania:
https://bibliotekanauki.pl/articles/355652.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
retained austenite
carburized layers
image analysis
Opis:
Structures of carburized layers after the surface saturation process in gaseous, liquid or solid medium and after subsequent heat treatment (hardening and low-temperature tempering) consist mainly of high carbon plate martensite with a certain portion of retained austenite. The presence of retained austenite (RA) in carburized layers is mostly considered as undesirable because it decreases hardness of the hardened layer and furthermore, a spontaneous conversion to a ferritic-carbide mixture of a bainitic type, accompanied by a change of properties, dimensional instability and the local increase in internal stress with the possible formation of cracks, can occur. The proportion of retained austenite is, therefore, a significant characteristics of the quality of hardened layers. This work deals with the evaluation of the volume fraction of retained austenite in carburized layers using image analysis on metallographic images.
Źródło:
Archives of Metallurgy and Materials; 2017, 62, 2A; 577-580
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Approach to classifying data with highly localized unmarked features using neural networks
Autorzy:
Grzeszczuk, Rafał
Powiązania:
https://bibliotekanauki.pl/articles/305688.pdf
Data publikacji:
2019
Wydawca:
Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Tematy:
classification
neural networks
medical image analysis
Opis:
To face the increasing demand of quality healthcare, cutting-edge automation technology is being applied in demanding areas such as medical imaging. This paper proposes a novel approach to classification problems on datasets with sparse highly localized features. It is based on the use of a saliency map in the amplification of features. Unlike previous efforts, this approach does not use any prior information about feature localization. We present an experimental study based on the Diabetic Retinopathy classification problem, in which our method has shown to achieve an over 20%-higher accuracy in solving a two-class Diabetic Retinopathy classification problem than a naive approach based solely on residual neural networks. The dataset consists of 35,120 images of various qualities, inconsistent resolutions, and aspect ratios.
Źródło:
Computer Science; 2019, 20 (3); 329-342
1508-2806
2300-7036
Pojawia się w:
Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The use of computer image analysis in determining adhesion properties
Autorzy:
Krawczuk, A.
Domińczuk, J.
Powiązania:
https://bibliotekanauki.pl/articles/117841.pdf
Data publikacji:
2014
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
computer image analysis
measurements
contact angle
Opis:
The paper discusses the use of computer image analysis in determining adhesion properties of materials, including the work of adhesion and surface free energy components. Also, it discusses methods and operators for edge detection employed in the determining of geometrical parameters which are then used as the basis for calculations. In addition, the paper presents an example of expanding the scope of investigations through the application of new IT solutions.
Źródło:
Applied Computer Science; 2014, 10, 3; 68-77
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Methods of Two Dimensional Images Restoration
Metody odtwarzania obrazów dwuwymiarowych
Autorzy:
Korzeniewski, Jerzy
Powiązania:
https://bibliotekanauki.pl/articles/906542.pdf
Data publikacji:
2002
Wydawca:
Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:
image analysis
computer algorithms
bayesian morphology
Opis:
In the paper the problems of segmentation and restoration of two dimensional images on the basis of possessed distorted version of images are considered. Bayesian methods of image analysis, ICM Besag algorithm, mathematical morphology methods and Bayesian morphology methods are discussed. All methods are assessed from the point of view of three criteria: quality of the image restored, the speed of algorithms used and the quality of mathematical and statistical foundations. A new algorithm is also proposed and the results of applying all the methods discussed to some images are presented. The algorithm may be assessed as competitive especially as the speed and the quality of the image restored is concerned.
W pracy rozważane są problemy segmentacji oraz odtwarzania obrazów dwuwymiarowych na podstawie posiadanej zanieczyszczonej wersji obrazu. Omówione są metody bayesowskiej analizy obrazu, algorytm ICM Besaga, morfologia matematyczna i bayesowska. Wszystkie metody są oceniane pod względem trzech kryteriów: jakości obrazu odtworzonego, szybkości pracy algorytmu oraz solidności podstaw statystycznych i matematycznych. Zaproponowany jest również nowy algorytm i przedstawione wyniki zastosowania wszystkich omawianych metod do odtworzenia kilku obrazów. Nowy algorytm można ocenić jako konkurencyjny zwłaszcza pod względem szybkości pracy oraz jakości odtworzonego obrazu.
Źródło:
Acta Universitatis Lodziensis. Folia Oeconomica; 2002, 162
0208-6018
2353-7663
Pojawia się w:
Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Metallographic Study of the Casting Made from CMSX-6 SC Nickel-Based Superalloy
Autorzy:
Szczotok, A.
Powiązania:
https://bibliotekanauki.pl/articles/352067.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
superalloy
CMSX-6
microstructure
image analysis
Opis:
Microstructural characterization is an important tool to optimize the properties of engineering materials. Quantitative metallography is a common technique, which provides three-dimensional estimations of phases and structure elements from two-dimensional images. Metallography has been described as both a science and an art [1]. Superalloys are high-performance alloys which exhibits excellent mechanical strength and creep resistance at high temperatures, good surface stability, and corrosion and oxidation resistance. Temperature and corrosion resistant materials such as nickel-based superalloys are prepared mostly with standard metallographic techniques. However, the results can be significantly improved by using finely graded CMP (chemical mechanical polish) polishing solutions on a high napped polishing pad. Sample preparation requires a certain degree of skills and experience, due to the high chemical resistance of most superalloys. Some chemical solutions are able to dissolve the γ matrix and recover the γ' residue, and some others solutions can be used to obtain a contrary effect – dissolve the γ' phase precipitates and recover the γ matrix residue. The aim of the presented research is to describe qualitatively and quantitatively the as-cast microstructure of CMSX-6 SC superalloy. The author’s attention has been concentrated on the γ' phase precipitates morphology. The results of using optical and scanning electron microscopy (SEM) are presented.
Źródło:
Archives of Metallurgy and Materials; 2017, 62, 2A; 581-586
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Examination of Clustering in Eutectic Microstrcture
Autorzy:
Bortnyik, K.
Barkóczy, P.
Powiązania:
https://bibliotekanauki.pl/articles/356769.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
eutectic
microscopy
image analysis
data mining
cluster analysis
Opis:
The eutectic microstructures are complex microstructures and a hard work to describe it with few numbers. The eutectics builds up eutectic cells. In the cells the phases are clustered. With the development of big databases the data mining also develops, and produces a lot of method to handling the large datasets, and earns information from the sets. One typical method is the clustering, which finds the groups in the datasets. In this article a partitioning and a hierarchical clustering is applied to eutectic structures to find the clusters. In the case of AlMn alloy the K-means algorithm work well, and find the eutectic cells. In the case of ductile cast iron the hierarchical clustering works better. With the combination of the partitioning and hierarchical clustering with the image transformation, an effective method is developed for clustering the objects in the microstructures.
Źródło:
Archives of Metallurgy and Materials; 2017, 62, 2B; 1155-1159
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
Wyświetlanie 1-15 z 531

Ta witryna wykorzystuje pliki cookies do przechowywania informacji na Twoim komputerze. Pliki cookies stosujemy w celu świadczenia usług na najwyższym poziomie, w tym w sposób dostosowany do indywidualnych potrzeb. Korzystanie z witryny bez zmiany ustawień dotyczących cookies oznacza, że będą one zamieszczane w Twoim komputerze. W każdym momencie możesz dokonać zmiany ustawień dotyczących cookies