搜索资源列表
videoextract
- 两种方法实现镜头边界提取，并附上K-means代码-Two means to achieve video boundry extract,and the K-means.
kmeans1
- 基于K-means的优化聚类中心的图像分割算法，改进了FCM算法的缺点-Based on the optimization of K-means clustering center image segmentation algorithm to improve the shortcomings of the FCM algorithm
Desktop
- ksvd算法是k-means的一种泛化，可以用于处理图像去噪声的问题-Quot us \ '
Cloud-detection-
- 首先使用灰度共生矩阵提取图像纹理特征，之后使用灰度共生矩阵的熵值与相关性系数作为纹理参数，用k-means聚类算法实现遥感图像的云检测-First of all, the gray co-occurrence matrix is used to extract the image texture features, then the entropy and correlation coefficients of the GLCM are used as texture parameters, a
mochxource
- 快速k-means算法,比matlab 自带的要快很多,不错的源码-K- means algorithm quickly, much faster than with matlab, good source
kmeans_my
- MATLAB程序，基于RGB颜色分层，实现图像分割(Based on MATLAB,reliaze color images segmentation)
graph_based
- Efficient Graph-Based Image Segmentation & k-means Image Segmentation
Slic
- SLIC主要运用K-means聚类算法进行超像素的处理，聚类算法中的距离度量不仅仅包括颜色空间的颜色距离还包括像素坐标的欧氏距离。所以K-means聚类的中心点由五维向量组成。其中包括，记录LAB颜色空间下的像素以及该像素点的XY坐标，由于XY坐标不能和颜色空间直接进行计算，所以添加了一个紧密度的参数。(slic superpixelSLIC mainly uses the K-means clustering algorithm for ultra pixel processing, the
TrafficDetection-master
- 一种综合多种算法的车辆检测和追踪方法，运行时间较长，但效果很棒(We implement a system for vehicle detection and tracking from traffic video using Gaussian mixture models and Bayesian estimation. In particular, the system provides robust foreground segmentation of moving vehicles
ComputerVision-Problems-master
- Contains three problems - Texture Classification using k means and Laws filters, Vehicle Classification using SIFT and SURF features and BOWs approach and Edge Detection techniques
kiegeng_v54
- Since writing the curvature calculation function, Conducted through virtual array DOA estimation, K-means clustering algorithm based on the PSO.
2841219
- 使用k-means算法实现聚类分析,将四维的数据分成三个簇()
MATLAB-image-processing-master (1)
- 图像处理算法在空间域和频域的简单滤波等方面的实现，实现了像霍夫变换和k均值算法的图像分割算法。(Image processing algorithm in the spatial domain and frequency domain of simple filtering and other aspects of the realization of the image segmentation algorithm such as Hough transform and k-means alg
1372505
- 这是一个关于k-means和E-M的比较文件,里面包括源代码和详细的试验报告()
kmeans2
- k-means聚类,用于文本的聚类，可以简单的聚类文本信息(kmeans use to classification txt ti is easy to use)
owddifine
- K-means algorithm, written by visual c++ 6 div hr div B 文件列表 B ： div d()
sccond-procdures
- k-means算法,包括一个测试的4类的测试数据集,()
ImageClustering
- 聚类算法，遥感影像分割，包含k means,isodata,模糊c聚类，模糊阈值聚类(clustering algorithm,image segmentation,K means,isodata)
CBIR-system
- 随着计算机科技的发展，图像检索的应用也越来越成熟，根据检索性质可分为两类：基于文本的图像检索和基于内容的图像检索。本论文通过研究基于内容的图像检索中的几个核心算法，用于聚类分析的K-means算法，通过haar小波变换来提取图像底层视觉特征，以及使用F-范数理论来进行相似性度量，来设计一个离线的图像检索系统。(With the development of computer technology, the application of image retrieval is more and mo
k-means
- 利用matlab程序编写的图像分割代码，算法为kmeans聚类算法，分割速度和效果很好(The image segmentation code written by MATLAB program, the algorithm is kmeans clustering algorithm, the segmentation speed and effect is very good)