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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic


eISSN: 1178-5608



VOLUME 8 , ISSUE 1 (March 2015) > List of articles


M. Anwar Ma’sum * / Wisnu Jatmiko / Budi Wiweko / Anom Bowolaksono

Keywords : ultrasound, automated system, fetal organ, detection, approximation, boosting, Hough transform.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 8, Issue 1, Pages 720-748, DOI:

License : (CC BY-NC-ND 4.0)

Received Date : 06-November-2014 / Accepted: 30-January-2015 / Published Online: 01-March-2015



This paper proposed a system for detecting and approximating of a fetus in an ultrasound image. The fetal organs in the ultrasound image are detected using Multi Boundary Classifier based Adaboost.MH. The results of the fetal detection is then approximated Randomized Hough Transform and the whole showed a mean accuracy of 95.80%. The mean of the Hamming Error 0.019 and the Kappa coefficient value reaches 0.890.The proposed method has the best performancefor fetal organ detection. This is proven by the Hamming Error, the accuracy, and tthe Kappa Coefficient. The hitrate for fetal’s head, fetal’s femur, fetal’s humerus, and fetal’s abdomen are 95%, 97%, 97%, and 93% respectively. From the Experiment result, it is concluded that using detection by only usig the approximation method could not perform better than the previous methods.

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