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| Content Provider | IET Digital Library |
|---|---|
| Author | Yuan, Jianjun |
| Abstract | In this study, a new local region-based active contour model in a variational level set formulation for ultrasound image segmentation is proposed. The energy function is formulated based on the local divergence with likelihood ratio. The proposed model can handle blurry boundaries and noise problems. In addition, the regularity of the level set function is intrinsically preserved by the level set regularisation term to ensure accurate computation. The authors only adopt a level set function to define the partition of image domain into two disjoined regions. Experimental results demonstrate desirable performance of the authors’ method for synthetic images with different level noise and ultrasound images with weak boundaries and noise. |
| Starting Page | 252 |
| Ending Page | 259 |
| Page Count | 8 |
| ISSN | 17519659 |
| Volume Number | 7 |
| e-ISSN | 17519667 |
| Issue Number | Issue 3, Apr (2013) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/7/3 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2012.0461 |
| Journal | IET Image Processing |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Blurry Boundaries Computer Vision And Image Processing Technique Energy Function Image Domain Partition Image Segmentation Level Set Function Likelihood Ratio Local Divergence Energy Local Region-based Active Contour Model Optical, Image And Video Signal Processing Sonic And Ultrasonic Application Synthetic Image Ultrasonic Imaging Ultrasound Image Segmentation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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