An Approach for Fast Statistical Data Extraction from Biomedical Objects

Aleksandrs Sisojevs, Rihards Starinskis

Abstract


The statistical data of biomedical object is very important input information for medical diagnostics or/and anatomical pathology research. The approach for this data extraction is photo survey of biomedicine object and next image processing, based on image segmentation. For image segmentation methods of pattern recognition can be used. In the present research, the authors implement different methods for extracting the statistical data from images. The experimental results show the efficiency of the selected methods and proposed modification.

Keywords:
Aortic valve; pattern recognition; segmentation; statistics

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References


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DOI: 10.7250/tcc.2015.009

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