Location:
Search - region growth
Search list
Description: 像素聚类区域成长法--
顾名思义,此方法从一个种子像素开始,通过如平均灰度,组织纹理及色彩等性质的判断,将具有类似性质的像素逐一纳入所考虑的区域中,使此区域由种子逐渐成长成一个性质相似的图像区块。-pixel clustering method regional growth-- the name implies, this method from a seed pixels, through such as average gray, the color and texture organizations such as the nature of judgment, with similar to the nature of each pixel into consideration the region, so this area has gradually grown from seed into a nature similar to the image block.
Platform: |
Size: 4096 |
Author: xinxin |
Hits:
Description: 区域生长,基本处理方法是 以一组种子点开始来行程生长区域,即将哪些预定义属性类似于种子的邻域像素附加到每个种子上 -regional growth, the basic approach is based on a group of seed starting point to the growth of regional tour, What about predefined attributes similar to seed the neighborhood of each pixel additional seeds
Platform: |
Size: 1024 |
Author: carolin1980 |
Hits:
Description: 区域增长的算法实现: 1)根据图像的不同应用选择一个或一组种 子,它或者是最亮或最暗的点,或者是位 于点簇中心的点 2...通过像素集合的区域增长 算法实现: 区域A 区域B 种子像素增长.3)增长的规则 4)
结束条件.-regional growth algorithm : 1) According to the images chosen a different application or group of seeds, It is perhaps the most- or the most secret, or at the point of the cluster center point ... through two sets of pixels regional growth algorithm : A regional seed pixels B regional growth .3) growth rules 4) concluded conditions.
Platform: |
Size: 2048 |
Author: 蒋建军 |
Hits:
Description: 好用地 matlab 区域增长算法,先输入比较范围,再输入种子点数目,然后就是手动选取种子点了 ,好运哦!-good land Matlab regional growth algorithm, importing more scope to import seed spots, Then, they manually select seed, good luck!
Platform: |
Size: 1024 |
Author: Cong Yang |
Hits:
Description: 区域生长:
标注详细,参数可在程序中调整-Regional Growth: tagging detailed parameters can be adjusted in the procedure
Platform: |
Size: 1024 |
Author: sdf |
Hits:
Description: 区域生长法源代码,在MATLAB开发环境中应用-Region growing method source code, in the MATLAB development environment application
Platform: |
Size: 9216 |
Author: 臧文乾 |
Hits:
Description: 区域生长的matlab源码
region grow-Matlab source of regional growth region grow
Platform: |
Size: 1024 |
Author: guoyaomc |
Hits:
Description: 区域图象分割的源码,基于区域增长的分割的代码-Image segmentation of the source region, regional growth based on code division
Platform: |
Size: 1024 |
Author: sh |
Hits:
Description: 包含区域增长算法 区域合并算法 和阈值分割算法-Regional growth algorithm contains the algorithm and region merging threshold segmentation algorithm
Platform: |
Size: 5941248 |
Author: allen |
Hits:
Description: 介绍了视觉颜色空间及其在交互式图像分割中的作用, 实验分析了它的奇异性, 在此基础上, 考虑像素的
空间和色彩分布, 提出了基于区域生长法的多颜色空间、 多度量准则的聚类算法和零碎区域的合并算法, 颜色空间选取HSL 和RGB 两种, 相似性度量包括了种子点、 扩张点和生长区域三个方面, 并用于敦煌壁画图像的分割.-Introduce the visual color space and its application in interactive image segmentation of the role, experimental analysis of its singularity, on this basis, taking into pixel space and color distribution, based on region growing multi-color space, multi-metric criteria clustering algorithm and fragmented region merging algorithm, select the HSL color space and RGB are two similarity measure, including the seed point, the expansion point and the three aspects of regional growth, and for image segmentation in Dunhuang murals.
Platform: |
Size: 348160 |
Author: singro jiang |
Hits:
Description: 单种子点区域生长图像分割算法:基本处理方法是 以一组种子点开始来行程生长区域,即将哪些预定义属性类似于种子的邻域像素附加到每个种子上-Single seed point region growing image segmentation algorithms: the basic processing method is based on a set of seed points, started to trip the growth region, which is about predefined attributes similar to the seed pixel neighborhood attached to each seed on
Platform: |
Size: 1024 |
Author: tory |
Hits:
Description: 区域生长法进行图像分割的c++程序,以一个种子点进行区域生长-Region growing method of image segmentation c++ Procedures to a seed point for regional growth
Platform: |
Size: 3815424 |
Author: 葛秘蕾 |
Hits:
Description: 经典区域生长源码(区域增长),比起灰度阈值法有不可比拟的优势,一旦尝试,欲罢不能啊,只是,在实时性应用方面还有待改进,m代码编写易懂,易用,易改写成其他语言,如果改写成c,应该速度有所提高.请尽情享用-Classical region growing source (regional growth), compared to gray-scale threshold method has unparalleled advantages, once the attempt to stop ah, but, in real-time applications have yet to be improved, m coding easy to understand, easy to use, easy to rewritten into other languages, if rewritten into c, the speed should be improved. please enjoy
Platform: |
Size: 1024 |
Author: zz |
Hits:
Description: region growing实现区域生长的功能-region growing function of the realization of regional growth
Platform: |
Size: 1024 |
Author: soccerstar |
Hits:
Description: 一个常用的matlab图像区域生长程序,由给定的单个种子和阈值条件进行生长-Matlab image of a commonly used region growing process, from a given individual seeds and the growth of the threshold conditions
Platform: |
Size: 1024 |
Author: fantisst |
Hits:
Description: 图像处理中的区域生长算法,利用若干种子点的选取进行区域生长。-Image processing region growing algorithm, using several seed points selected for regional growth.
Platform: |
Size: 1024 |
Author: 任亮 |
Hits:
Description: 区域生长代码 区域生长代码 区域生长代码 -Region growing region growing code code code for regional growth and regional growth and regional growth code code code region growing
Platform: |
Size: 1024 |
Author: 王新竹 |
Hits:
Description: 基于区域生长的阈值分割,Matlab环境下使用。-region growth
Platform: |
Size: 1024 |
Author: 陈颖帅 |
Hits:
Description: 区域生长的基本思想是将具有相似性质的像素集合起来构成区域区域生长的基本思想是将具有相似性质的像素集合起来构成区域-The basic idea is to have a region growing pixels of similar nature together constitute the basic idea of the growth of the regional area constitutes a pixel area of a similar nature together
Platform: |
Size: 14336 |
Author: 李祥霞 |
Hits:
Description: 区域生长法,手动选种子点吗,它是一个迭代的过程,这里每个种子像素点都迭代生长
直到处理过每个像素,因此形成了不同的区域,这些区域它们的边界通过闭合的多边形定义。
在区域生长中的主要问题如下:
(1)表示区域的初始化种子的选择:在区域生长过程中,这些不同区域点合适属性的选择。
(2)基于图像具体属性的像素生长不一定是好的分割。在区域生长过程中,不应该使用连通性或邻接信息。
(3)相似性:相似性表示在灰度级中观察在两个空间邻接像素之间或像素集合的平均灰度级间的最小差分,它们将产生不同的区域。如果这个差分比相似度阈值小,则像素属于相同的区域。(Region growth method, manually select the seed point, it is an iterative process, where each seed pixel points are iterative growth
Until each pixel is processed, different regions are formed, and their boundaries are defined by closed polygons.
The main problems in regional growth are as follows:
(1) represents the selection of the initialization seed of the region: in the region growing process, the selection of these different region points is appropriate.
(2) pixel growth based on image specific attributes is not necessarily good segmentation. Connectivity or adjacency information should not be used during regional growth.
(3) similarity: the similarity representation, in gray level, is to observe the minimum difference between the two spatial adjacent pixels or the average gray level of the set of pixels, which produce different regions. If the difference is smaller than the similarity threshold, the pixels belong to the same region.)
Platform: |
Size: 3072 |
Author: liuyanboooooo
|
Hits: