搜索资源列表
cerqorm
- 利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很-By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow
hd701
- 实现了图像的灰度化并进一步用于视频监视控，用MATLAB实现动态聚类或迭代自组织数据分析，包括压缩比、运行时间和计算复原图像的峰值信噪比。- Achieve a grayscale image and further control for video surveillance, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Including compression ratio, imag
ypkhr
- 粒子图像分割及匹配均为自行编制的子例程，采用累计贡献率的方法，基于欧几里得距离的聚类分析。- Particle image segmentation and matching subroutines themselves are prepared, The method of cumulative contribution rate Clustering analysis based on Euclidean distance.
qie_uf84
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,能量熵的计算，基于欧几里得距离的聚类分析。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Energy entropy calculation, Clustering analysis based on Euclidean distance.
kjenn
- 可实现对二维数据的聚类，使用混沌与分形分析的例程，仿真图是速度、距离、幅度三维图像。- Can realize the two-dimensional data clustering, Use Chaos and fractal analysis routines, FIG simulation speed, distance, amplitude three-dimensional image.
k_means2
- 实现单幅RGB图像的分类，输出灰度图，灰度直方图，聚类后的灰度图以及聚类后的灰度直方图。(To achieve a single RGB image classification, output grayscale, gray histogram, grayscale after clustering, and gray histogram after clustering.)
shpfb8
- 源码是有关模式识别与图像处理的,以及人工智能中的模糊算法,聚类算法 ,,(Source is about pattern recognition and image processing, as well as the fuzzy algorithm in artificial intelligence, and clustering algorithm,)
nofcvxo
- 源码是有关模式识别与图像处理的,以及人工智能中的模糊算法,聚类算法 ,,(Source is about pattern recognition and image processing, as well as the fuzzy algorithm in artificial intelligence, and clustering algorithm,)
ae602a9c136a
- 均值漂移图像分割测试程序,使用meanshift算法对彩色图像进行聚类分割，效果很好，并且显示使用时间、RGB与LUV颜色空间的互相转换(Mean shift image segmentation test procedures, the use of meanshift algorithm for color images clustering segmentation, the effect is very good, and show the use of time, find the c
k-means
- 此代码可以对图像很好的聚类，文件里面有原始图像，也有聚类后的图像，聚类的效果挺好的，大家可以看看(This code can make a good clustering of images. In the file, there are original images, and there are also images of clustering. The effect of clustering is good. You can have a look at it)
ouzzy-image
- 利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很(By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow)
MQL_OpenCV4
- 通过提取图像里特征，进行聚类分析，从而可以判断天气情况。(Through the extraction of features in the image, the cluster analysis can be used to judge the weather conditions.)
1、K-means学习
- K-means算法MATLAB仿真，利用一副图像作为数据实现K聚类算法仿真(K-means algorithm, MATLAB simulation)
MeanShift
- meanShift,均值漂移，在聚类、图像平滑、分割、跟踪等方面有着广泛的应用。一般是指一个迭代的步骤，即先算出当前点的偏移均值，然后以此为新的起始点，继续移动，直到满足一定的结束条件。(MeanShift, mean shift is widely used in clustering, image smoothing, segmentation, tracking and so on. Generally refers to an iterative step, that is, first
simple linear iterative clustering for matlab
- 超像素图像分割方法，简单线性迭代聚类，用于自然影像/遥感影像分割等(superpixel image segmentation, simple linear iterative clustering)
ML
- GMM高斯混合模型EM算法聚类，PCA主成分分析，以及从人脸图像中提取主成分(GMM Gauss hybrid model EM algorithm clustering, PCA principal component analysis, and extraction of principal components from face images)
slic
- 超像素分割图像，将彩色图像转化为CIELAB颜色空间和XY坐标下的5维特征向量，然后对5维特征向量构造距离度量标准，对图像像素进行局部聚类的过程(simple linear iterativeclustering)
Otsu方法
- opencv做的otsu方法,一、Otsu算法原理 Otsu算法（大津法或最大类间方差法）使用的是聚类的思想，把图像的灰度数按灰度级分成2个部分，使得两个部分之间的灰度值差异最大，每个部分之间的灰度差异最小，通过方差的计算来寻找一个合适的灰度级别来划分。 所以可以在二值化的时候采用otsu算法来自动选取阈值进行二值化。otsu算法被认为是图像分割中阈值选取的最佳算法，计算简单，不受图像亮度和对比度的影响。因此，使类间方差最大的分割意味着错分概率最小。 设t为设定的阈值。(otsu made
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
SOMDemo
- 用自组织映射网络进行聚类分析，然后可以用于颜色识别，图像分割(Clustering analysis using self-organizing mapping network can then be used for color recognition, image segmentation)