A Novel Algorithm for Feature Detection and Hiding from Ultrasound Images

Authors:
Haris Godil;Sonya Davey;Raj Shekhar
Affiliations:
University of Maryland;University of Pennsylvania;University of Maryland
Venue:
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
Year:
2013

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Abstract

Female feticide, a common problem in many countries such as India and China, is skewing the population and lowering the status of women in these societies. Ultrasound machines are the tool of choice for sex determination of a fetus. We have developed an algorithm that will take an ultrasound image, and will detect and localize the genitalia and output the image with the genital area blurred. Our algorithm uses a sliding window based approach and generates a number of features for each window. Then, a trained classifier recognizes whether the window contains genitalia or not, and provides a confidence level.