Gestation Age Determination through Optimized Fuzzy Logic Based Edge Detection Algorithm in Fetal Ultrasound Images
Jujjavarapu Sunitha Kumari · International Journal of Advanced Trends in Computer Science and Engineering · 2020
The present research proposes an automated technique to determine Gestation age from fetal ultrasound images using BPD biometric factor.Knowing this parameter, the status of the fetal growth is accurately predicted.In advance to the traditional technique, this study significantly focuses on optimized fuzzy logic based LSF algorithm to detect the precise edge information of the images.Gradient values obtained from six directional masks are used as fuzzy input and depending on the fuzzy rules; the system predicts the efficient edges while suppressing the remaining.Fitting an elliptical curve across the edges to determine the necessitate parameter is performed by LSF.Further, filtered LSF is also applied to similar ultrasound images in order to present the effective advantages of the proposed method.Moreover, the observed results are compared with the manual values taken by medical sonographers.From this, it is clearly analyzed that the gestational age predicted by the proposed technique is approximately closer to that of the manual ones when compared to the other technique and this exists mainly due to the inclusion of the fuzzy logic rule specifications.