一种新的基于多级混合模型的图像分割方法。
A new approach for image segmentation based on multistage hybrid model.
在此基础上提出了一种混合区域信息和边界信息的方法——基于融合颜色和强度先验信息的几何可变模型的医学图像分割算法。
Then a new method merging area information and edge information, geometric deformable model with color and intensity priors for medical image segmentation, is proposed.
本文提出了一种基于模糊-神经网络混合系统(FNNHS)的图象分割方法。
This paper presents an image segmentation approach which is based on fuzzy-neural-network hybrid system (FNNHS).
提出基于直方图尺度空间分析和概率迭代松弛的混合方法分割背景复杂的细胞图像。
A hybrid method was proposed for cell image segmentation based on histogram analysis using scale space approach and probability relaxation.
基于混合树的自适应分割的立体可视化方法提高了快速分类的速度，可以用于交互的立体可视化方法。
Adaptive Hierarchical subdivision of volume data based on the hybrid tree is not only improve the classification speed, but also can be used in interactive volume visualization.
为了使相似性衡量尺度与样本特征的分布特点相适应，提出利用相似度分割特征集的混合核函数构造方法。
In order to adjust the similarity metrics to the distribution of the feature, a kernel function construction based on feature set division is proposed.
通过让开发人员把目标定义成数据和行为不可分割的混合体，面向对象方法把系统工程推上了一个新高度。
By letting developers define objects as unbreakable mixtures of data and behavior, OO pushed system engineering to new heights.
然后利用FCM方法、形态学方法和标记法对混合场进行分析与处理，最终得到分割结果。
After getting the mixed information the FCM method, a new tag method and morphology theory are introduced to analyze the mixed information and get the result.
课题中介绍了信号跨电源分割的基本原理，仔细分析了信号跨电源分割造成的危害，研究了数模混合pcb的设计方法。
After studies on basic theory and harm of signal traversing a power gap, provide measures of mixed-signal PCB design.
课题中介绍了信号跨电源分割的基本原理，仔细分析了信号跨电源分割造成的危害，研究了数模混合pcb的设计方法。
After studies on basic theory and harm of signal traversing a power gap, provide measures of mixed-signal PCB design.
应用推荐