Fetal head circumference (HC) is one of the most important biometrics in assessing fetal growth during prenatal ultrasound examinations. However, measuring the fetal head is not an easy task. This study aims to create an automatic fetal head measurement system. This system is expected to run on mobile devices as part of telehealth system. HC measurement can be done with object detection method, followed by edge detection, then using every edge pixel, fetal head can be approximated using ellipse fitting. Evaluations are carried out using hit rates and error rates for ellipse fitting. From each method that was tested, the evaluation result showed that the Adaptive Boosting and Fast Ellipse Fitting (ElliFit) method had the best performance. This method also had a relatively fast execution time for a mobile device, which is 3-5 seconds.