Temat: image analysis - Prolib Integro

Skocz do pozycji: 1.

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
Tematy:: HISTORICAL OBJECTS
IMAGE ANALYSIS; Pokaż więcej
Wydawca:: Narodowy Instytut Dziedzictwa
Powiązania:: https://bibliotekanauki.pl/articles/539494.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Flotation kinetic tracking of sand contaminated with hydrocarbons : image analysis of pulp color changes in time
Autorzy:: Acuña, Claudio
Humire, José
Leiva, Claudio
Tematy:: flotation
organic
image analysis; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/28838529.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Metodyka pomiarów obiektów obrazowanych w tomografii komputerowej
Measuring methods of objects in CT images
Opis:: The problem of object's measurement in computer tomography requires the detection of object's edges. Usually, it is performed by operator, who picks the edge's points. This fact implicates the doubts for measuring accuracy and repeatability as well as the comparison possibility with another measuring results, obtained by another operator. The paper presents the analysis of automated edge detection methods and the application proposal of the method, which detects the edges by direct lumination analysis.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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Skocz do pozycji: 4.

Tytuł:: Weather and a part of day recognition in the photos using a KNN methodology
Autorzy:: Krzywicki, T.
Tematy:: image analysis
machine learning
classification; Pokaż więcej
Wydawca:: Uniwersytet Warmińsko-Mazurski w Olsztynie
Powiązania:: https://bibliotekanauki.pl/articles/298048.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

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.
Tematy:: tumor
MRI image
angiogenesis
image analysis; Pokaż więcej
Wydawca:: Politechnika Bydgoska im. Jana i Jędrzeja Śniadeckich. Wydawnictwo PB
Powiązania:: https://bibliotekanauki.pl/articles/389840.pdf Link otwiera się w nowym oknie
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
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Similarity analysis in medical image databases
Autorzy:: Rumiński, J.
Tematy:: image retrieval
image analysis
descriptors
query algebra; Pokaż więcej
Wydawca:: Politechnika Gdańska
Powiązania:: https://bibliotekanauki.pl/articles/1954510.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Determining rock pore space using image processing methods
Autorzy:: Mazurkiewicz, Ł.
Młynarczuk, M.
Tematy:: porosity
image analysis
mathematical morphology; Pokaż więcej
Wydawca:: Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie. Wydawnictwo AGH
Powiązania:: https://bibliotekanauki.pl/articles/184751.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Lokalizacja tekstu w obrazie
Localization of text in images
Autorzy:: Pazio, M.
Tematy:: image analysis
text detection algorithms; Pokaż więcej
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Powiązania:: https://bibliotekanauki.pl/articles/153776.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Method of determining the volume of forming gas bubbles
Autorzy:: Rząsa, M.
Czapla, B.
Tematy:: image analysis
gas bubbles
measurement volume; Pokaż więcej
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Powiązania:: https://bibliotekanauki.pl/articles/114470.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Segmentation Based on Determinate Chaos of Histological Specimen Images
Autorzy:: Orel, V.
Gusynin, A.
Selezneva, H.
Kolesnik, S.
Stendyk, H.
Komisarova, H.
Tematy:: image analysis
segmentation
histological specimen
neuroblastoma; Pokaż więcej
Wydawca:: Fundacja na Rzecz Młodych Naukowców
Powiązania:: https://bibliotekanauki.pl/articles/115899.pdf Link otwiera się w nowym oknie
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.
Dostawca treści:: Biblioteka Nauki

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