搜索资源列表
otsu.rar
- 本程序是利用最大类间方差算法求解自适应阈值,对图像进行分割,非动态阈值,This procedure is the use of maximum between-cluster variance adaptive thresholding algorithm for image segmentation, non-dynamic threshold
Thresholding-using-mean-shift
- 基于mean shift的阈值分割matlab代码,先借助Mean Shift算法的分割特性将灰度值相近的元素进行聚类,然后,在此基础上应用阈值分割算法,达到将图像与背景分离的目的。-Threshold based on mean shift segmentation matlab code, the first split with the Mean Shift algorithm similar to the gray value characteristics of the element
LocalOstu
- 基于opencv的otsu阈值分割,根据最大类间方差原理,进行全局图像分类-Opencv based on the Otsu threshold segmentation, in accordance with the principle of maximum between-cluster variance for the overall image classification
aaaa
- 把地理区域分成一个个小区,蜂窝系统在该区域内提供无线覆盖。把可用的频谱分成很多信道,每个小区分配一组信道。使用频分双工(FDD)。在小区间进行频率利用,N个小区构成一个簇,簇间进行频率复用。定义了传播特性(信道参数)以及同频小区的位置。信道的参数包括:小区半径,路径损耗指数,以分贝为单位的对数正态阴影的标准差,基站发射功率级,移动台发射功率级,每个小区的扇区数,扇区化天线的正反向比,要仿真的瞬时位置的组数,同频干扰阈值。-To a geographical area is divided int
OTSUMultiThre
- 1.本程序功能包含显示直方图,OTSU的单值分割,OTSU的二值分割,OTSU的三值分割 2.在OTSU的分割时,通常情况下我们是通过类间方差得到一个分割阈值,但是有时候我们需要得到各灰度级别的目标,那么采取多值分割是 很必要的,通过改进得到OTSU的多值分割方法 3.本程序另外还有显示直方图,计算程序运行时间,处理结果以新的窗口显示等细节,这部分适合MFC初学者。-1. This procedure shows the histogram feature, OTSU sing
juleifenxi
- 针对实际问题定义一种相似性测度的阈值,然后按最近邻规则指定某些模式样本属于某一个聚类类别。-Practical problems for the similarity measure to define a threshold value, and then press the nearest neighbor rule to designate certain mode of samples belonged to a particular cluster category.
Percolation-Cluster
- 对周围相邻的 8 邻居求和(元胞只有两种状态,0 或 1 )。元胞也有一个单独的状态参量(所谓 记录 )记录它们之前是否有非零状态的邻居。 在 0 与 1 之间产生一个随机数 r 。 如果总和> 0 (至少一个邻居)并且 r >阈值,或者元胞从未有过一个邻居,则元胞= 1 。 如果总和> 0 则设置"记录"的标志,记录这些元胞有一个非零的邻居。 -8 adjacent neighbors on the surrounding sum (cell only two states,
Eye-location-
- 首先对图像进行非线性灰度变换滤除噪声,然后利用最大类间方差阈值技术对处理后的图像进行二值化处理,最后利用积分投影定位人眼-First to utilize non-linear gray-scale transformation to filter out noises, then adopts the between-cluster variance threshold segmentation method for image binarization processing, finally
leachrand
- 实现无线传感器网络leach协议。簇头随机分布在网络中,节点产生随机数,并判断是否大于阈值,如果大于阈值则作为簇头。每隔一定时间簇头选择一次。-Wireless sensor networks leach agreement. Cluster head randomly distributed in the network, the node generates a random number, and to determine whether greater than the threshol
M-GEAR
- In this research work, we advise gateway based energy-efficient routing protocol (M-GEAR) for Wireless Sensor Networks (WSNs). We divide the sensor nodes into four logical regions on the basis of their location in the sensing field. We install Base S
loc_im_MSfilter
- 我们先借助Mean Shift算法的分割特性将灰度值相近的元素进行聚类,然后,在此基础上应用阈值分割算法,达到将图像与背景分离的目的。-We first use the division characteristics of the Mean Shift algorithm, the grey value of similar element in the cluster, and then, on the basis of using threshold segmentation algori
MSEP
- Modified-SEP 通过修改了族头的筛选条件,以及考虑筛选族头时,各个族头相对于基站的位置,对SEP协议进行了优化-Modified-SEP: In this protocol, the remaining energy and distance node to base station have been taken under consideration while selecting optimal cluster-heads at each round in Stable Ele
jai-pt56
- 包括AHP,因子分析,回归分析,聚类分析,旋转机械二维全息谱计算的实用例程,比较了软阈值,硬阈值及当今各种阈值计算方法。- Including AHP, factor analysis, regression analysis, cluster analysis, Rotating Machinery dimensional hologram of practical spectrum calculation routines, Comparison of soft threshold and
LEACH??.doc
- 无线传感器网络路由算法,通过改进簇头选举阈值,延长网络生存时间(Routing algorithm for wireless sensor networks improves the network lifetime by improving the cluster head election threshold)
TEEN
- TEEN协议就是为反应式无线传感器网络而设计的路由策略,它具有实时性,可以对突发事件作出快速反应。TEEN采用与LEACH相同的多簇结构运行方式。不同的是,在簇的建立过程中,随着簇首节点的选定,簇首节点除了通过TDMA方法实现数据的调度,还向簇内成员广播有关数据的硬阀值和软阀值两个参数。(The TEEN protocol is a routing strategy designed for reactive wireless sensor networks. It is real-time a
Cluster analysis
- 对输入的数值进行聚类分析,分析阈值可自己设置,聚类方法可以分为欧氏距离和夹角余弦两种(The value of the input is analyzed by cluster analysis, and the threshold can be set by itself. The clustering method can be divided into two kinds: Euclidean distance and angle cosine.)