计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 189-192.doi: 10.11896/j.issn.1002-137X.2017.11A.039
唐文杰,朱家明,张辉
TANG Wen-jie, ZHU Jia-ming and ZHANG Hui
摘要： 由于医学图像通常伴有灰度不均、背景复杂的特点,传统水平集无法对其进行有效分割,因此提出了一种多分辨率改进型双水平集算法。首先,利用小波进行多尺度空间分析,从而获取医学图像的粗尺度图像；然后由改进型双水平集对图像进行分割,提取多目标区域；为了去除医学图像中灰度不均对分割效果的影响,该算法引入偏移场拟合项,以进一步改进双水平集模型,进而对粗尺度分割效果进行优化处理。实验结果表明,所提算法能有效地解决灰度不均与背景复杂的问题,将伴灰度不均的多目标医学图像完全分割出来,从而获得预期的分割效果。
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