Wyniki wyszukiwania - Biblioteka Nauki

1

Image sequence stabilization through model based registration

100%

Denkowski M. , Chlebiej M.

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2010

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tom Vol. 10, no. 1

79--86

EN

Acquisition of image series using the digital camera gives a possibility to obtain high resolution/quality animation, much better than while using the digital camcorder. However, there are several problems to deal with when producing animation using such approach. Especially, if motion involves changes in observer position and spatial orientation, the resulting animation may turn out to look choppy and unsmooth. If there is no possibility to provide some hardware based stabilization of the camera during the motion, it is necessary to develop some image processing methods to obtain smooth animation. In this work we deal with the image sequence acquired without stabilization around an object. We propose a method that enables creation of smooth animation using the registration paradigm.

2

Registration and fuzzy segmentation modules for SemiVis framework

80%

Denkowski M. , Chlebiej M. , Mikołajczak P.

Journal of Medical Informatics & Technologies

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2005

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tom Vol. 9

65--74

EN

This paper presents the cross-platform framework for image processing with a focus on medical imaging. It allows a fast addition and testing of new algorithms using a modular structure. New modules can be created by using a platform-independent The C++ class library can be easily integrated with a whole system by a plug-in mechanisms. Together with the system core in the framework medical image processing modules are included. The plug-in mechanism allows to create a processing pipelines of this modules to achieve sophisticated processing functions such as registration or segmentation.

3

Evaluation of Two Programs Developed for Dental Digital Subtraction Radiography: a Comparison between Different Methods of Geometric Alignment

80%

Kozakiewicz M. , Bogusiak K. , Denkowski M. , Hanclik M.

Computational Methods in Science and Technology

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2009

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tom Vol. 15, nr 2

161-167

EN

The aim of this research was to compare different methods of geometric alignment produced by two programs developed to be utilized for digital subtraction radiography (DSR). Material and Methods: Material consists of 50 pairs of intra-oral radiographs taken in 50 patients during normal oral clinical treatment. Two programs invented by the authors of this article: ToothVis 1.4 (TV) and DentalStudio 2.0 (DS) software were used in this study. Images obtained by two methods of DSR (cut and divide) and geometrically aligned with four methods were compared with the use of the peak signal to noise ratio (PSNR). Results: Analyzing the PSNR, it was observed that for cut subtraction its values ranged from 37.93 dB to 39.99 dB. For divide subtraction the PSNR values varied between 39.00 dB (03_pt_DS vs 10_pt_TV) and 47.73 dB (03_pt_TV vs 10_pt_TV). The PSNR achieved higher values for divide than for cut subtraction. Comparing cut and divide subtraction, the PSNR was the lowest for 3-point geometric alignment. Conclusion: Geometric alignment with the ToothVis software combined with divide subtraction gives the best quality of a subtracted image.

4

Method for Filling and Sharpening False Colour Layers of Dual Energy X-ray Images

80%

Dmitruk K. , Mazur M. , Denkowski M. , Mikołajczak P.

International Journal of Electronics and Telecommunications

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2016

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tom Vol. 62, No. 1

49--54

EN

An X-ray scanning and image processing have a vast range of applications in the security. An image of a content of some package being passed for example to an airplane or to the court house may help to figure out if there are any dangerous objects inside that package and to avoid possible threatening situation. As the raw X-ray images are not always easy to analyze and interpret, some image processing methods like an object detection, a frequency resolution increase or a pseudocolouring are being used. In this paper, we propose a pseudocoloring improvement over material based approach. By addition of the edge detection methods we fill and sharpen colour layers over the image, making it easier to interpret. We demonstrate the effectiveness of the methods using real data, acquired from a professional dual energy X-ray scanner.

5

Segmentation and visualisation MR images of the human brain

80%

Denkowski M. , Chlebiej M. , Mikołajczak P.

Journal of Medical Informatics & Technologies

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2004

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tom Vol. 7

MIP59--68

EN

Segmentation and visualisation of anatomical regions of the brain are fundamental problems in medical image analysis. In this paper, we present a fuzzy-logic segmentation system that is capable of segmenting magnetic resonance (MR) images of a human brain. The presented method consists of two main stages: histogram thresholding and pixel classification using a rule-based fuzzy logic inference. After the segmentation is complete, attributes of different tissue classes may be determined (e.g., volumes), or the classes may be visualised as spatial objects. The implemented system provides many advanced 3D imaging tools.