Proceedings of International Conference on Frontiers in Computing and Systems. Advances in Intelligent Systems and Computing, vol 1255. Springer, Singapore., 2020
Ultrasound imaging is the best medical imaging technology to observe and monitor the growth and p... more Ultrasound imaging is the best medical imaging technology to observe and monitor the growth and physiological status of the follicles, most importantly the paramount or dominant follicle in the female's ovary. But ultrasound images are always heavily poisoned by speckle noises although it is extensively used in infertility treatment. In this paper, a segmentation technique has been developed and discussed to completely remove the speckle noises and segment different follicles from ultra-sound images. The proposed segmentation technique used a 20 pixel long window and standard deviation of the USG image for smoothing and despeckling the image. Further, morphological opening followed by morphological closing operations have been applied to the image for removing the paper and salt noise. Next, segmentation of the follicles is done by finding the active contours and filled convex hull from the intermediate USG image that contains only the follicles those are bright i.e. white in color with a black background. Follicles are properly classified and detected by applying a set of relevant parameters. Finally, a comparative study has been presented between the experimental results and inferences made by the experts to validate the result towards determining the degree of accuracy of the proposed technique.
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Papers by Debasmita Saha