کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1726956 | 1015143 | 2010 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Sonar image segmentation based on GMRF and level-set models
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی دریا (اقیانوس)
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
We propose two new level-set models to address the segmentation problem in sonar images. Local texture features, extracted using the Gauss–Markov random field model, are integrated into level-set energy functions to dynamically select regions of interest. Then, new two-phase level-set and multiphase level-set models are obtained by minimizing each new energy function, and the selection of model parameters is analyzed. The proposed models do not require re-initialization, which is usually a very costly procedure. Segmentation experiments on both synthetic and real sonar images show that the proposed two level-set models are accurate and robust when they are applied to noisy sonar images.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ocean Engineering - Volume 37, Issue 10, July 2010, Pages 891–901
Journal: Ocean Engineering - Volume 37, Issue 10, July 2010, Pages 891–901
نویسندگان
Xiu-Fen Ye, Zhe-Hui Zhang, Peter X. Liu, Hong-Ling Guan,