搜索资源列表
SAR
- 以MSTAR为实验数据，对SAR影像进行杂波统计分析研究。利用高斯、瑞利、对数正态、LN、gamma函数模型对其拟合，通过K-S方法检验拟合精度-The MSTAR the experimental data, statistical analysis of SAR images of clutter. Gaussian, Rayleigh, lognormal, LN, gamma function model to its fitting, fitting by means of check
kmeans
- kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask: clasification image mask -kmeans image segmentation Input: ima: grey color image k: Numbe
Untitled3
- 迫零和最小均方误差比较，非常好的程序，保证可以仿真出图形-DIP text book kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask:
Untitled3
- 迫零和最小均方误差比较，非常好的程序，保证可以仿真出图形-DIP text book kmeans image segmentation Input: ima: grey color image k: Number of classes Output: mu: vector of class means mask:
FCM
- 自己实现的，模糊C均值聚类的代码，在K-mean上添加了隶属度矩阵。注释详细，方便理解算法步骤-my implementation, Fuzzy C-Means clustering code in the K-mean adding a membership matrix. Notes detailed, easy to understand algorithm steps
sccond-procdures
- k-means算法,包括一个测试的4类的测试数据集,()
SLIC
- 超像素分割算法，基于K-means算法，自己写了一个方便优化，非常实用(Super pixel segmentation algorithm, very practical)
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
彩色图像分割
- The input color image will be coarsely represented using 25 bins.Coarse representation uses the spatial information from a Histogram based windowing process. K-Means is used to cluster the coarse image data.
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)
mvqx177
- 用MFC开发的简单的k-means实现代码,原创啊()
exdluslve-yinker
- k-means算法,包括一个测试的4类的测试数据集,()
sgtxdwu
- K-MEANS聚类算法,以及PSO和QPSO算法改进K-MEANS算法,breastcancer数据验证了该分类模型的有效()
7018267
- KMEANS Trains a k means cluster model CENTRES KMEANS(CENTRES,()
kmeans图像分类
- 利用简单kmeans聚类算法，对不同图片进行分类，图片内容包括人像，风景，建筑，动物，植物等，平台是matlab。(The simple k - means clustering algorithm is used to classify different pictures. the picture content includes portrait, scenery, architecture, objects, plants, etc. The platform is MATLAB.)
MeanShift_Code
- meanshift、k-means算法图像分割对比(meanshift and k-means Image processing technology)
image_segmentation
- 使用k-means聚类实现多光谱图像分割，并配有高维视图查看聚类结果(Clustering algorithm for multispectral image segmentation)
automatic_image_segement
- 本文以k-means算法为背景，引入信息熵相关知识，从而实现全自动分割图像。然而在利用混合高斯模型对图像进行数据分析时，会发生一定的过拟合现象，导致我们得不到预期的聚类数目。本文设计合理的合并准则，令模型简化，有效地消除过拟合现象，使得最后得到的聚类数目与预期符合。，设计合理的准则改进了图像的全自动分割方法，使得分割结果更加优化(In this paper, k-means algorithm is used as the background, and information entropy
基于信息熵的图像自动分割
- 在k-means的理论基础上，利用GMM模型和交叉熵的知识实现对图像的自动分割