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Selected aspects of corneal endothelial segmentation quality

Piorkowski A., Nurzynska K., Boldak C., Reska D., Gronkowska-Serafin J.

Journal of Medical Informatics & Technologies

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2015

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Vol. 24

155--163

EN

The number and shape of cells in endothelium layer is highly correlated with the quality of vision. Therefore, its precise and automatic description plays an important role in medicine. This work presents several aspects of image processing of endothelium layer acquired by specular microscope. The comparison of cell selection accuracy is discussed using two different approaches to solve this problem: convolution filtering methods, and snake-based method. Moreover, for verification results generated by dedicated software, supplied with the microscope, were utilized. Next, the precise segmentation method is applied to improve the segmentation. The results are inspected visually, but also CV, H, and CVSL parameters, used in medicine, are calculated. The research concludes that general visual outcomes achieved by all segmentation approaches give similar results, however deep insight into cell outline position reveals some differences, which were partially removed after precise segmentation application. The analysis of parameter values show high stability of CV and CVSL parameters.

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Application of database technology to analysis of rock structure images

Mlynarczuk M., Ladniak M., Piorkowski A.

Physicochemical Problems of Mineral Processing

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2014

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Vol. 50, iss. 2

563--573

EN

The aim of this paper is to present a possibility to use information technology in the form of databases for processing and analyzing large image sets based on methods of image analysis and mathematical morphology. Up to now the use of databases in the image analysis process has been reduced to storing large amounts of data in the form of images. However, all transformations and analyses of such sets are made on user’s computers. This requires a large data set (images) to be sent by network each time, and also it may possess the problems resulting from managing such large amounts of analyzed photographs on a computer. The proposed approach completely eliminates these problems by moving all transformations of image analysis to a database platform. For this purpose a set of routines realizing transformations of the image analysis and mathematical morphology was developed. The proposed approach allows the unification of the image processing and analysis area and advanced statistical analyses of obtained parameters describing geometrical sizes of objects on photographs. The proposed methodology was illustrated by practical realization of two measurement types for a simple structure of copper concentrate and more complicated, from the point of view of image analysis, structures such as dolomites from Redziny and Laskowa Gora and sandstones from Tumlin and Wisniowka.

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Loop Optimization in Managed Code Environments with Expressions Evaluated Only Once

Piorkowski A., Zupnik M.

TASK Quarterly : scientific bulletin of Academic Computer Centre in Gdansk

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2010

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Vol. 14, No 4

397-404

EN

This paper is concerned with optimizing code execution in virtual machine environments. Code motion is one of the many optimization techniques. We considered a special case of optimization – a loop containing expressions that can be effectively evaluated once. A solution for this case is discussed and two algorithms are proposed. Experimental results for Java VM, MS .NET and Mono are shown here in order to assess the performance of the proposed algorithms.