@article{3430,
  author = {Veska Georgieva, Stephan Vassilev},
  title = {Algorithm for Image Segmentation Process in Ultrasound Machines},
  journal = {Journal of Multimedia Processing and Technologies},
  year = {2022},
  volume = {13},
  number = {1},
  doi = {https://doi.org/10.6025/jmpt/2022/13/1/17-24},
  url = {https://www.dline.info/jmpt/fulltext/v13n1/jmptv13n1_3.pdf},
  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.},
}