| 基于改进C-V模型的B超图像分割 |
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| 引用本文： | 李彩云,钱盛友,李宁.基于改进C-V模型的B超图像分割[J].通信技术,2011,44(12):10-12. |
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| 作者姓名： | 李彩云 钱盛友 李宁 |
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| 作者单位： | 湖南师范大学物理与信息科学学院,湖南长沙,410081 |
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| 基金项目： | 国家自然科学基金(批准号:11174077); 湖南省自然科学基金项目(批准号:11JJ3079) |
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| 摘 要： | 图像分割是医学超声图像学中的难题之一.针对传统的水平集图像分割法速度较慢,提出了一种基于改进Chan-Vese(C-V)模型和加强中值滤波的B超图像分割方法,并与传统的C-V模型分割方法进行比较,最后用最大香农熵等方法评价分割结果.实验结果表明:改进的C-V模型B超图像分割法具有较好的分割性能,并且耗时方面明显优于传统C-V模型分割方法,可以将其应用于医学超声图像的分割中,能够到达实时性的要求.
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| 关 键 词： | B超图像分割 Chan- Vese模型 最大香农熵 加强中值滤波 |
B-mode Scan Ultrasound Image Segmentation based on Improved Chan-Vese Model |
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| LI Cai-yun
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QIAN Sheng-you
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LI Ning.B-mode Scan Ultrasound Image Segmentation based on Improved Chan-Vese Model[J].Communications Technology,2011,44(12):10-12. |
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| Authors: | LI Cai-yun QIAN Sheng-you LI Ning |
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| Affiliation: | LI Cai-yun,QIAN Sheng-you,LI Ning(College of Physics and Information Science,Hunan Normal University,Changsha Hunan 410081,China) |
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| Abstract: | Image segmentation is a hard problem in medical ultrasound images.For the low speed of traditional level set image segmentation,a B-mode scan ultrasound image segmentation based on improved Chan-Vese(C-V) model and enhanced median filtering is proposed and compared with traditional Chan-Vese model.Finally the maximal Shannon entropy is applied to evaluating segmentation result.Experimental results show that the improved method is more effective,and its time-consumption lower than that of traditional Chan-Ve... |
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| Keywords: | B-mode scan ultrasound image segmentation Chan-Vese model maximal shannon entropy enhanced median filter |
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