TY - JOUR
T1 - Multi-threshhold Ultrasound Image Segmentation Based on Potential Function Clustering
AU - Bo Peng, Fuliang Zhang & Xianfeng Yang
JO - Journal of Fiber Bioengineering and Informatics
VL - 2
SP - 277
EP - 284
PY - 2015
DA - 2015/08
SN - 8
DO - http://doi.org/doi:10.3993/jfbim00101
UR - https://global-sci.org/intro/article_detail/jfbi/4707.html
KW - Ultrasound Image Segmentation
KW - Morphological Reconstruction Filter
KW - Histogram Potential Function
KW - Multi-threshhold Segmentation
AB - Ultrasound image segmentation is an important task for clinical diagnosis. In this study, a multi-
threshhold segmentation approach was proposed to enhance ultrasound image segmentation accuracy.
More specifically, the proposed multi-threshhold segmentation approach, combining an opening-closing
morphological filter and potential function clustering theory, attempted to provide better ultrasound
image segmentation visibility. This proposed approach was tested using computer-simulated images and
in vivo images. Computer simulation results demonstrated that the method significantly improved the
accuracy of image segmentation. From in vivo images investigation, we have found that, as compared
with the original images, better segmentation visibility were obtained. Our initial results demonstrated
that this method could be useful for improving the segmentation quality of ultrasound images as a
post-processing tool.