×

轮廓分割 meaning in Chinese

profile split

Examples

  1. The active contour is chosen to be the method for segmentation
    在分割算法中,我们选择了基于边界的活动轮廓分割算法。
  2. With the defect of too much manual intervention in usual cell contour segmentation methods , an automatic vivo - cellular segmentation algorithm is proposed based on morphological and active contour model
    摘要对常用细胞轮廓分割方法人工干预较多的缺点,提出基于形态学和活动轮廓模型的活体细胞图像分割算法。
  3. After the discussion of several kinds of optimum threshold segmentation methods , a multi - feature vector space and three new criteria ( global comparison detection , geography priority privilege , equal opportunity for competence ) are developed for region growing control , a new region growing method is brought forward . at last the region splitting and merging , region clustering , neural networks , snake active contour model et al have been discussed
    提出了全局比较探测、面积测定及空间优先、竞争机会均等三个有效的准则,利用灰度、纹理多特征矢量改进了传统的区域增长算法,并对纹理分析,神经网络分割和snake活动轮廓分割进行了有益的探索。
  4. In this paper a system for segmenting and tracking the objects from sequences is designed . this system is mainly made up of three parts that are the motion estimation giving out the motion vectors , the edge detection finding the edge points and contour and the deformable contour achieving the segmentation and tracking for the objects
    本文设计了一种基于可变轮廓的序列图像的分割和跟踪系统,该系统主要由三个部分组成:运动估计给出运动向量,边缘点轮廓提取得到图像的边界图和外轮廓,而可变轮廓分割方法实现目标分割和跟踪。
  5. The arithmetic extracts the profile features , and segments the profiles from both vertical and horizontal directions of the human face ’ s gray image which is based on physiological features of human faces . then , the profile image is divided into some blocks , and we use the profile features of all blocks as the profile feature of the whole image
    算法提取了图像的轮廓特征,针对人脸的生理结构,对人脸的灰度图像进行水平和垂直方向的轮廓分割,在此基础上对轮廓图像进行分块,抽取各子块的轮廓特征进行加权作为整块图像的轮廓特征。

Related Words

  1. 投影轮廓
  2. 程序轮廓
  3. 晶体管轮廓
  4. 双重轮廓
  5. 即轮廓
  6. 反射线轮廓
  7. 轮廓光
  8. 制作轮廓
  9. 房屋轮廓
  10. 心脏轮廓
  11. 轮廓反差
  12. 轮廓范围标记
  13. 轮廓分明
  14. 轮廓分明的
PC Version

Copyright © 2018 WordTech Co.