搜索资源列表
AnIntroductiontoMeanShift
- 均值漂移算法的详细介绍，论证均值漂移算法的收敛性，介绍mean-shift算法在图像分割，目标跟踪领域的应用-Mean Shift Algorithm detail, argues Mean Shift Algorithm, introduced mean-shift algorithm in image segmentation, target tracking applications
DigitalImageProcessing_v1
- 本程序主要是一些学习影像处理时会用到的程序,其中包括: color to gray , segement RGB,、mean filter、median filter、user defined thresholding、otsu、Histogram equalization、Sobel edge detection、Prewitt edge detection,并可将边缘侦测所得到的信息以彩色线条贴至原图-This procedure
meanshift
- 均值平移跟踪算法中核函数窗宽的自动选取代码，根据目标大小变化核窗宽，使得当目标出现大小变化时准确跟踪到目标中心-Mean shift tracking algorithm in the kernel function automatically selects the window wide code, depending on the target size of changes in the nuclear window width
ms_segmenter
- mean shift
image_compress
- 本程序利用奇异值分解对3通道彩色图像进行压缩分解，具体步骤如下： 压缩过程： 1. 选取子图像大小K值，把图像分解成M×M个子图像，IMG(s),s=1,2,…, M2，其中M=N/K，原始图像IMG大小为N×N。 2. 计算这M2个子图像的平均值average，对每幅子图像减去均值图像得到新图像。 3. 计算相关矩阵R，其元素定义为 。 4. 计算R的特征值与特征向量，计算每幅子图像与最大特征向量的内积，便得到编码
calculate mean value os a rasterlayer under a poly
- calculate mean value os a rasterlayer under a polygon layer
TextureAnlysis
- TextureAnlysis.m实现遥感图像的纹理分析，以 方向邻域内的灰度均值 和 灰度共生矩阵的熵 作为纹理特征，使用k-means聚类。-TextureAnlysis.m the realization of remote sensing image texture analysis to the direction of the gray-scale neighborhood of the mean and the entrop
2A
- 用于遥感图像分类。其输入为几幅遥感图像，使用k-mean聚类方法对图像中的不同地形进行聚类分割-For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different clu
ColorProcessing
- 图像的颜色处理,包括位图的彩色与灰度的转化,颜色调整,亮度对比度调整,颜色减少和增加,Gamma校正以及颜色均值映射.-Color images, including color bitmap and grayscale conversion, color adjustment, brightness, contrast adjustment, color reduction and increase, Gamma Correction
CVPR07_GC_code
- IEEE CVPR07的论文<A Topological Approach to Hierarchical Segmentation using Mean Shift>的源代码-IEEE CVPR07 paper
msp_matlab
- 多处理器调度 均场退火matlab程序,100％能运行-Multi-processor scheduling matlab mean field annealing procedure, 100 will be able to run
kMean
- k-mean算法演示，利用手工输入点通过k类自动聚合-k-mean algorithm demonstration, the use of manual input through the k-type auto-polymerization
CTracker_v2.2_SourceCode
- 多种跟踪算法的实现，包括mean-shift等，很好用-Realize a variety of tracking algorithms, including mean-shift and so on, very good use
C-Mean
- c-mean聚类算法源代码，通过对输入数据进行训练和分类类别设定，能够得到数据的聚类图。-c-mean clustering algorithm source code, through the input data for training and classification of types of settings can be data clustering Fig.
Mean_Mid_MATLAB
- 八邻域均值算法与中值算法的比较，加高斯噪声滤波进行比较-Eight-neighbor algorithm with the mean value of the comparison algorithm, plus Gaussian noise filter comparison
Graph_Cut
- Graph Cutshi是最近在计算机视觉中研究和应用比较多的优化算法，典型的用于stereo matching, image restortion, texture synthesis等应用，以上代码给出了graph cut，mean shift, 以及相关的ppm/pgm图像借口，本来是用于stereo matching的，已经把相关的matching的实现代码给去掉了。大家可以以此为平台做一些相关的研究和应用。 -Graph Cu
fuzzy_c_mean
- 用java 实现 fuzzy c mean 图像的聚类 -Java realize using fuzzy c mean clustering images
denoise
- 开发工具采用VC++，用于均值滤波，能有效地去除噪声。-Development tools used VC++, For the mean filter can effectively remove the noise.
k-mean
- k-均值算法 做的图象分割实例 （将图片像素聚成三类）-k-means algorithm to do the image segmentation example (poly-pixel pictures into three categories)
K-MEANS
- k－mean算法的源码，对聚类非常有用！！可以直接使用！-k-mean algorithm source of clustering is very useful! ! Can be used directly!