期刊
IET IMAGE PROCESSING
卷 13, 期 6, 页码 998-1005出版社
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-ipr.2018.6150
关键词
medical image processing; image segmentation; biomedical ultrasonics; ultrasound image segmentation; differential search algorithm; diagnostic imaging; special tissues; multilevel threshold segmentation; vivo US images; good segmentation result
类别
资金
- China Postdoctoral Science Foundation [2016M592894XB]
- National Natural Science Foundation of China [61741112, 81560296]
- Natural Science Foundation of Yunnan Province [2017FB097, 2017FB098]
Ultrasound (US) image segmentation plays a very important role in diagnostic imaging. In order to extract special tissues from images, this study proposes a new method for segmentation of US images. The proposed method uses multilevel threshold segmentation which is based on Otsu and differential search algorithm. Testing in simulation US images shows that the proposed algorithm has a better result of segmentation than the three existing methods, including region growing, the active contour model and k-means technique. The proposed method gets the highest F-m values and the smallest area errors in experiments. Vivo US images are also tested by the proposed method and it achieves a good segmentation result.
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