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| 医学图像背景分割 | |
| 引用本文： | 王娜,彭青玉,邓保青.医学图像背景分割[J].中国医学影像技术,2010,26(8):1573-1575. |
| 作者姓名： | 王娜 彭青玉 邓保青 |
| 作者单位： | 1. 华南师范大学增城学院计算机系,广东,广州,511363;暨南大学计算机科学系,广东,广州,510632 2. 暨南大学计算机科学系,广东,广州,510632 3. 华南师范大学增城学院计算机系,广东,广州,511363 |
| 摘 要： | 目的 探讨医学图像背景分割的方法.方法 首先采用常规的自适应阈值方法对图像背景进行分割,但效果不理想;接着对医学图像的特点进行分析,最后采用背景拟合设定阈值进行分割.结果 实现了医学图像背景的分割.结论 实验表明上述方法能够非常有效地分割医学图像背景. |
| 关 键 词： | 背景分割 阈值 拟合 直方图 |
| 收稿时间： | 2010/1/11 0:00:00 |
| 修稿时间： | 2010/5/18 0:00:00 |
Background segmentation in medical image |
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| WANG N,PENG Qing-yu and DENG Bao-qing.Background segmentation in medical image[J].Chinese Journal of Medical Imaging Technology,2010,26(8):1573-1575. | |
| Authors: | WANG N PENG Qing-yu and DENG Bao-qing |
| Institution: | Department of Computer Science, College of Zengcheng, South China Normal University, Guangzhou 511363, China;Department of Computer Science, Jinan University, Guangzhou 510632, China;Department of Computer Science, Jinan University, Guangzhou 510632, China;Department of Computer Science, College of Zengcheng, South China Normal University, Guangzhou 511363, China |
| Abstract: | Objective To investigate the medical image background segmentation. Methods Firstly, conventional adaptive threshold method was used to segment the medical image, but the result was not satisfactory. Then the characteristics of medical image were analyzed and the medical image based on background fitting was segmented. Results This method achieved the medical image background segmentation. Conclusion Experimental results show that the above method can be very effective in background segmentation. |
| Keywords: | Background segmentation Threshold Fitting Histogram |
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