2) watershed topographic segmentation
流域地貌分割
3) region segmentation
区域分割
1.
Effective implementation of image region segmentation based on Gomory-Hu algorithm;
基于Gomory-Hu算法有效实现的图像区域分割
2.
Algorithm for detecting and locating human faces based on region segmentation in complex backgrounds;
基于区域分割的复杂背景中人脸检测与定位
3.
An algorithm for intermediate view image creation and interpolation based on disparity field calibration and region segmentation;
基于视差场校正和区域分割的中间视图像生成与内插方法
4) watershed segmentation
流域分割
1.
Laplace watershed segmentation based on minimum energy
基于能量最小的拉普拉斯流域分割算法
2.
In order to reduce the algorithm operation time,we propose a novel segmentation algorithm of marrow cell images based on the mathematical morphological pyramid and the watershed segmentation.
提出了一种基于数学形态金字塔分解和流域分割的骨髓细胞图像分割方法。
3.
Thirdly, this thesis makes a detailed analysis for over-segmentation problem of the watershed segmentation algorithm, and improves this segmentation algorithm.
然后,详细研究了流域分割算法中的过分割原因,并对流域分割算法进行了改进。
5) segmentation
[英][,seɡmən'teiʃən] [美][,sɛɡmən'teʃən, -mɛn-]
区域分割
1.
Algorithm for SAR image target detection based on double threshold segmentation;
一种基于双阈值区域分割的SAR图像目标提取方法
2.
The algorithm consists of the two steps of segmentation and boundary reconstruction.
该算法首先对恢复的初始三角形网格进行区域分割和边界重构,将隐式曲面的三角形网格分离出来,然后对恢复的隐式曲面表面的初始逼近网格从3个方面进行优化:即将初始逼近网格的曲率控制与网格面的拓扑一致性调整;调整网格顶点法矢与交互式分割;补偿网格抽样率。
3.
The extraction procedure consists of two steps: segmentation and boundary reconstruction.
该算法主要包括两部分:区域分割和边界重构。
6) image segmentation
区域分割
1.
A method of recognizing huge objects from gray images is proposed An edge image is first worked out and then thresholded Next the binary image is processed by morphological operations of erosion and dilation respectively, followed by image segmentation Finally, the object region is selected from the segmentation results and indicated with target rectangle
此方法先计算灰度图像的梯度值 ,再对梯度图像进行二值化 ,对二值化后的图像先后进行腐蚀和膨胀操作 ,然后对所得到的图像进行区域分割 ,从得到的区域中找到目标区域。
2.
This algorithm employed the theory of image segmentation and framework pick-up in edge detection.
为了使提取的图像边缘的结构定位精确 ,并产生连续的精细边缘 ,同时能滤除边缘信息中的噪声干扰 ,提出了一种以 Prewitt算子为基础 ,应用区域分割和骨架提取的改进算法 ,实现了图像边缘信息的提取 ,能消除图像中的噪声 ,产生精细的边缘。
补充资料：Dedekind分割
Dedekind分割
Dedekind cut
D日加脑目分割[D汕如目cut;皿e八eKou皿。即ee，e。。e]，分割(cut) 把实数集R(或有理数集Q)分割成两个非空集合A和B，其并为R(或Q)，并使得对任何a6A和be及都有a
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条