A study of image segmentation algorithms combined with different image preprocessing methods for thyroid ultrasound images

摘要

Image segmentation for thyroid ultrasound images is a challenging task. As such, several image segmentation algorithms combined with different image preprocessing methods applied to thyroid ultrasound image segmentation are studied in this work. The image segmentation algorithms presented in this paper include edge detection, regional segmentation and active contour without edge algorithms. The image preprocessing methods presented in this paper include Butterworth low-pass filtering, Butterworth high-pass enhanced filtering, and adaptive weighted median filtering. In the experiments, the image segmentation algorithms and image preprocessing methods were combined to evaluate the segmentation results for thyroid ultrasound images. The segmentation results shown in the paper demonstrated that the combined image segmentation algorithms and image preprocessing methods can successfully segment the thyroid regions out of thyroid ultrasound images.