山东大学学报(工学版) ›› 2018, Vol. 48 ›› Issue (2): 22-29.doi: 10.6040/j.issn.1672-3961.0.2017.067
王雪琴1,2,李树荣1,于妤1,王家岩1,2
WANG Xueqin1,2, LI Shurong1, YU Yu1, WANG Jiayan1,2
摘要: 为了解决彩色图像分割任务中有选择性的定位感兴趣区域的具体需求,基于Lavdie-Chen的灰度图像单水平集选择性分割方法,提出带几何约束的彩色图像选择性分割方法。该试验方法将彩色图像作为一个整体,求其梯度及边缘检测函数,借助边缘检测函数、目标物体约束点确定的距离函数以及形成的多边形内外面积,共同决定曲线演化进程中的方向与速度。区域信息的加入克服了边缘函数依赖单一图像梯度的缺点;正则化优化算法的引入克服了凹陷处分割效果不理想的缺点;加法分裂算子算法可以快速求解模型的Euler-Lagrange方程。试验结果表明,本研究提出的彩色图像选择性分割方法具有有效性强和正确性高的特点。
中图分类号:
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