Adaptive Thresholding in Ultrasonograph Images

The development of segmentation using foetal ultrasound images is explained. The current paper work explains the development of enhancement and segmentation algorithms as the ultrasound diagnosis highly depends on the quality of the data. Developed algorithms segment the foetus and helps in analyzing the anatomical structure. This makes an easy diagnostic tool for the obstetricians to analyze and the data can be stored in the database for further analysis. Median filtering is used to remove speckle noise in the ultrasound image for better visualization. Removing the noise will also help in segmenting the image. Adaptive thresholding and Prewitt’s edge detection are used to segment the foetus, which helps in analyzing the foetal anatomical parts like the head, neck, limbs etc in the mother’s womb