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基于形态学重构运算的医学图像分割
Medical image segmentation based on morphological reconstruction operation
【摘要】 医学图像分割是高层次医学图像理解和解释的前提条件,其目的是通过提取描述对象的特征,把感兴趣对象从周围环境中分离出来。文章在形态学基本运算的基础上,介绍了形态学重构运算和形态学图像分割的基本流程,最后用形态学重构运算对脑部MRI图像进行了分割,实验结果表明,这一方法可成功地将脑髓分割出来。
【Abstract】 Medical image segmentation is a key factor for medical image comprehending and explaining.Its main aim is to segment the object from the surroundings by describing the feature of the object.Based on basic theories and methods of mathematical morphology,the paper introduces morphological reconstruction operation and basic steps of morphological image segmentation.The experimental results indicates that the morphological reconstruction operation is efficient for brain MRI segmentation,and the methods can segment the brains from other tissue successfully.
【基金】 湖南省自然科学基金(the Natural Science Foundation of Hunan Province of China under Grant No.06JJ3033);湖南省科技计划资助项目(No.05SK3055)
- 【文献出处】 计算机工程与应用 ,Computer Engineering and Applications , 编辑部邮箱 ,2007年10期
- 【分类号】TP391.41
- 【被引频次】47
- 【下载频次】591