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Algorithm for Image Segmentation Process in Ultrasound Machines

Veska Georgieva, Stephan Vassilev
Technical University of Sofia, 8 Kl. Ohridski Blvd Sofia 1000, Bulgaria., Education and Industrial Management TU-Sofia, Kl. Ohridsky str.8 Sofia, Bulgaria

Abstract: The function of a Doppler ultrasound machine is to record noise waves that characterize fluids, blood in vessels and exhibit such movements for diagnosis. The images produced in this action inform the blood speed and the ways. We in this work have presented a solution for image segmentation and assess the renal vessels. We suggested the noise reduction of the original image is as first stage of processing for obtaining a clearly contours of the objects. This process will further lead to colour segmentation on the base of k-mean clustering and calculation of some statistical parameters in some health issues. We have tested the algorithm in the MATLAB environment. We have supported our experiments with results and shown that use of this method for a proper diagnosis which will improve health sector.

Keywords: Doppler Ultrasound Images, Renal vessels, Colour Segmentation, K-mean Clustering Algorithm for Image Segmentation Process in Ultrasound Machines

DOI:https://doi.org/10.6025/jmpt/2022/13/1/17-24

Full_Text PDF 2.24 MB Download: 146 times

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