Temat: image segmentation - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Robust and Accurate Iris Segmentation Algorithm for Color and Noisy Eye Images
Autorzy:: Strzelczyk, P.
Tematy:: biometrics
image segmentation
iris recognition; Pokaż więcej
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Powiązania:: https://bibliotekanauki.pl/articles/308523.pdf Link otwiera się w nowym oknie
Opis:: Efficient and robust segmentation of iris images captured in the uncontrolled environments is one of the challenges of non-cooperative iris recognition systems. We address this problem by proposing a novel iris segmentation algorithm, which is suitable both for monochrome and color eye images. The method presented use modified Hough transform to roughly localize the possible iris and pupil boundaries, approximating them by circles. A voting mechanisms is applied to select a candidate iris regions. The detailed iris boundary is approximated by the spline curve. Its shape is determined by minimizing introduced boundary energy function. The described algorithm was submitted to the NICE.I iris image segmentation contest, when it was ranked 11th and 10th out of total 97.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Active contour segmentation of disjoint objects applied to medical images
Autorzy:: Pięta, Ł.
Tomczyk, A.
Szczepaniak, P. S.
Tematy:: segmentacja obrazu
image segmentation
potential active contours; Pokaż więcej
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Powiązania:: https://bibliotekanauki.pl/articles/333451.pdf Link otwiera się w nowym oknie
Opis:: Potential contours are methods for automatic image analysis. In the present paper, potential contours adapted in the supervised way are used for segmentation of disjoint objects and examined using medical images.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Development of an acousto-optic system for hyperspectral image segmentation
Autorzy:: Isaza, César
Mosquera, Julio M.
Gómez-Méndez, Gustavo A.
Zavala-De Paz, Jonny P.
Karina-Anaya, Ely
Rizzo-Sierra, José A.
Palillero-Sandoval, Omar
Tematy:: hyperspectral imaging
acousto-optic system
image segmentation; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/949748.pdf Link otwiera się w nowym oknie
Opis:: Image segmentation is a typical operation in many image analysis and computer vision applications. However, hyperspectral image segmentation is a field which have not been fully investigated. In this study an analogue-digital image segmentation technique is presented. The system uses an acousto-optic tuneable filter, and a CCD camera to capture hyperspectral images that are stored in a digital grey scale format. The dataset was built considering several objects with remarkable differences in the reflectance and brightness components. In addition, the work presents a semi-supervised segmentation technique to deal with the complex problem of hyperspectral image segmentation, with its corresponding quantitative and qualitative evaluation. Particularly, the developed acousto-optic system is capable to acquire 120 frames through the whole visible light spectrum. Moreover, the analysis of the spectral images of a given object enables its segmentation using a simple subtraction operation. Experimental results showed that it is possible to segment any region of interest with a good performance rate by using the proposed analogue-digital segmentation technique.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 4.

Tytuł:: Optimal Selection of Image Segmentation Algorithm for Heat-Emitting Objects
Autorzy:: Fabijanska, A
Sankowski, D.
Tematy:: image processing
image segmentation
image quantitative analysis
heat-emitting objects; Pokaż więcej
Wydawca:: Społeczna Akademia Nauk w Łodzi
Powiązania:: https://bibliotekanauki.pl/articles/108774.pdf Link otwiera się w nowym oknie
Opis:: In this paper problem of image segmentation quality is delibered. Especially, issue of segmentation method selection for images presenting heat-emitting objects is discussed. Particular attention is paid to thresholding method and edge-based image segmentation. Results of applying these methods to exemplary images are presented and discussed.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 5.

Tytuł:: Applied multiphase level set function in image segmentation
Autorzy:: Rymarczyk, T.
Filipowicz, S.F.
Sikora, J.
Tematy:: image segmentation
level set method
Mumford-Shah functional; Pokaż więcej
Wydawca:: Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Powiązania:: https://bibliotekanauki.pl/articles/97726.pdf Link otwiera się w nowym oknie
Opis:: The application of the level set function for the image segmentation was presented in this paper. The image segmentation refers to the process of partitioning a digital image into multiple regions. There is typically used to locate objects and boundaries in images. The level set method is a powerful tool for representing moving or stationary interfaces. There was used the idea of the variational formulation for geometric active contours. There was used to minimization problem in image processing to compute piecewise-smooth optimal approximations of the given image. The proposed algorithm has been applied to real pictures with promising results in the image segmentation.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 6.

Tytuł:: Improving Segmentation of 3D Retina Layers Based on Graph Theory Approach for Low Quality OCT Images
Autorzy:: Stankiewicz, A.
Marciniak, T.
Dąbrowski, A.
Stopa, M.
Rakowicz, P.
Marciniak, E.
Tematy:: Optical Coherence Tomography (OCT)
segmentation of retinal layers
image segmentation
graph theory; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/221548.pdf Link otwiera się w nowym oknie
Opis:: This paper presents signal processing aspects for automatic segmentation of retinal layers of the human eye. The paper draws attention to the problems that occur during the computer image processing of images obtained with the use of the Spectral Domain Optical Coherence Tomography (SD OCT). Accuracy of the retinal layer segmentation for a set of typical 3D scans with a rather low quality was shown. Some possible ways to improve quality of the final results are pointed out. The experimental studies were performed using the so-called B-scans obtained with the OCT Copernicus HR device.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 7.

Tytuł:: Kernel K-Means clustering algorithm for identification of glaucoma in ophthalmology
Autorzy:: Stapor, K.
Bruckner, A.
Tematy:: grupowanie
segmentacja obrazu
clustering
image segmentation
kernel-based learning; Pokaż więcej
Wydawca:: Uniwersytet Śląski. Wydział Informatyki i Nauki o Materiałach. Instytut Informatyki. Zakład Systemów Komputerowych
Powiązania:: https://bibliotekanauki.pl/articles/333803.pdf Link otwiera się w nowym oknie
Opis:: This paper presents the improved version of the classification system for supporting glaucoma diagnosis in ophthalmology, proposed in [4]. In this paper we propose the new segmentation step based on the kernel K-Means clustering algorithm which enable for better classification performance.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 8.

Tytuł:: Kidney Segmentation in CT Data Using Hybrid Level-Set Method with Ellipsoidal Shape Constraints
Autorzy:: Skalski, A.
Heryan, K.
Jakubowski, J.
Drewniak, T.
Tematy:: Level Set method
kidney
CT data
image segmentation
ellipsoid; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/221728.pdf Link otwiera się w nowym oknie
Opis:: With development of medical diagnostic and imaging techniques the sparing surgeries are facilitated. Renal cancer is one of examples. In order to minimize the amount of healthy kidney removed during the treatment procedure, it is essential to design a system that provides three-dimensional visualization prior to the surgery. The information about location of crucial structures (e.g. kidney, renal ureter and arteries) and their mutual spatial arrangement should be delivered to the operator. The introduction of such a system meets both the requirements and expectations of oncological surgeons. In this paper, we present one of the most important steps towards building such a system: a new approach to kidney segmentation from Computed Tomography data. The segmentation is based on the Active Contour Method using the Level Set (LS) framework. During the segmentation process the energy functional describing an image is the subject to minimize. The functional proposed in this paper consists of four terms. In contrast to the original approach containing solely the region and boundary terms, the ellipsoidal shape constraint was also introduced. This additional limitation imposed on evolution of the function prevents from leakage to undesired regions. The proposed methodology was tested on 10 Computed Tomography scans from patients diagnosed with renal cancer. The database contained the results of studies performed in several medical centers and on different devices. The average effectiveness of the proposed solution regarding the Dice Coefficient and average Hausdorff distance was equal to 0.862 and 2.37 mm, respectively. Both the qualitative and quantitative evaluations confirm effectiveness of the proposed solution.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 9.

Tytuł:: Metoda komputerowej analizy obrazu dla pieców szklarskich
A project and a prototype of the computer image analysis system for glass furnaces
Autorzy:: Rotter, P.
Skowiniak, A.
Tematy:: proces wytopu szkła
segmentacja obrazu
glass melting process
image segmentation; Pokaż więcej
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Powiązania:: https://bibliotekanauki.pl/articles/153656.pdf Link otwiera się w nowym oknie
Opis:: Sterowanie płomieniem w piecach szklarskich odbywa się przede wszystkim na podstawie obrazu lustra szkła dostarczonego przez kamerę zamontowaną w górnej części komory pieca. W zaproponowanej metodzie dokonuje się pomiaru zdefiniowanych parametrów procesu topienia szkła na podstawie automatycznej analizy obrazu. Algorytm uwzględnia ewentualną asymetrię ustawienia kamery, a także wykrywa osad, który zwykle gromadzi się na obiektywie kamery. Eksperymenty przeprowadzone na obrazach z kilku hut szkła wskazują jednoznacznie, że proponowana metoda może być z powodzeniem stosowana do automatyzacji procesu wytopu szkła.
Control of glass furnaces is performed mainly based on image of the glass surface which is captured by a camera mounted in the upper part of the furnace. The operator controls the process based on amount and displacement of batch on the surface. The main drawback of manual control is lack of opportunity for effective optimization of the process. Manual control, even by an experienced operator, is rather far from optimal, especially as it takes several hours before the results can be observed and assessed. Setting too low temperature results in decreasing the quality of the production, while too high temperature increases energy consumption and pollution, especially emission of NOx. Automatic calculation of the process variables may be used in a long-term learning for finding the optimal control as a function of the process state. The proposed method consists in a measurement of the process variables based on the analysis of the image captured by the camera in the glass furnace. The method includes automatic detection of batch borders, calculation of batch coverage in several zones defined by the user and calculation of indicators of batch asymmetry (considering asymmetry of the camera location, if exists). In addition, the algorithm allows for detection of sediment which usually settles at the camera lens.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 10.

Tytuł:: Environment adaptive lighting systems for smart homes
Autorzy:: Catalbas, M. C.
Tematy:: lighting control
fuzzy systems
image segmentation
pattern clustering
smart home; Pokaż więcej
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Powiązania:: https://bibliotekanauki.pl/articles/102529.pdf Link otwiera się w nowym oknie
Opis:: In this work, an application of adaptive lighting system is proposed for smart homes. In this paper, it is suggested that, an intelligent lighting system with outdoor adaptation can be realized via a real fisheye image. During the implementation of the proposed method, the fuzzy c-means method, which is a commonly used data clustering method, has been used. The input image is divided into three different regions according to its brightness levels. Then, the RGB image is converted to CIE 1931 XYZ color space; and the obtained XYZ values are converted to x and y values. The parameters of x and y values are shown in CIE Chromaticity Diagram for different regions in the sky. Thereafter, the coordinate values are converted to Correlated Color Temperature by using two different formulas. Additionally, the conversion results are examined with respect to actual and estimated CCT values.
Dostawca treści:: Biblioteka Nauki

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