搜索资源列表
kind
- candy边缘检测,彩色图像的边缘检测,K均值聚类,sobel边缘检测(C)其他是matlab程序-candy edge detection, color image edge detection, K-means clustering, sobel edge detection (C) the other is a matlab program
HCI
- 功能:求两幅图像的相似度,进而用于图像检索 尽管一幅彩色图像包含成千上万种颜色,但在多数情况下,图像中少数几种颜色就涵盖了图像中的大多数的象素颜色。这些颜色被称为主色。一些研究表明:使用主色一般不会降低颜色匹配效果。因此考虑一种次优可行的基于聚类颜色特征的相似度计算方法。 -Function: Find the similarity of two images, and then used for image retrieval although a color image con
FCM-Image-Cluster
- 使用FCM和HCM聚类算法对彩色图像进行聚类分割。-Use Fcm and HCM Method to cluster color image.
K-seg
- 一种K值聚类算法,用来分割彩色图像,提取出目标物体-A K value of the clustering algorithm, used to separate the color image, extracting the target object
聚类算法
- 基于谱聚类和Kmeans算法的聚类分析,有效地将图像进行分块聚类MATLAB代码
K均值聚类
- K均值聚类算法图像分割,最传统的一种分割方法(K mean clustering segmentation)
k_means
- 用kmeans算法处理资源3号卫星图像,用欧式距离来计算聚类中心,在用前后两次聚类之间的误差来决定迭代次数(Kmeans algorithm is used to deal with the resource 3 satellite image, and the Euclidean distance is used to calculate the clustering center. The number of iterations is determined by the error bet
MRF-ICM 也是先聚类再算的 里面有论文
- 利用马尔科夫随机场对图像进行语义分割,通过ICm求解参数,可以运行,对初学者有较好的借鉴作用(Using Markov random field to semantic segmentation of images, through ICm solution parameters, can run, for beginners have a good reference)
K均值聚类在基于OpenCV的图像分割中的应用
- 介绍了传统的图像分割与K-均值聚类算法分割,然后利用OpenCV函数将其实现,并介绍了OpenCV中图像分割相关的基本函数。(This paper introduces the segmentation of traditional image segmentation and K- mean clustering algorithm, then uses OpenCV function to implement it, and introduces the basic functions of
kfcm
- 实现了KFCM算法,对模糊图像进行聚类分析,效果良好(The KFCM algorithm is implemented)
FLICM
- 通过改进FCM聚类,编写了FLICM聚类,实现图像的聚类分割。(Implementation of FLICM clustering image segmentation)
k-means-image-segmentation-master
- k-means 聚类和分割的图像处理方法(k-means and segement image process)
image
- 进行图像像素的聚类分析,采用k-mean聚类分析,速度比MATLAB快5倍之多。(Cluster analysis of image pixels, using K-mean clustering analysis, the speed is faster than MATLAB 5 times more.)
kmeans
- 对数据和图像进行聚类分析,k-means聚类方法多应用于模式识别,人工智能,机器学习等方面(Clustering analysis of data and images, K-means clustering method should be used in pattern recognition, artificial intelligence, machine learning and so on)
Experiment Three
- matlab的聚类算法实现图像分割,效果很好(Image segmentation by clustering in matlab)
Colors_src
- 图像在读取颜色时,参数较多,处理过程需耗费大量时间,因此通过八叉树颜色聚类算法,提取图像的主色,利于后续的图像处理。(When the color is read, there are many parameters, and the processing process takes a lot of time. Therefore, octree color clustering algorithm is used to extract the main color of the image,
ncut
- ncut在图像分割中的应用及实现(基于谱聚类的理论)(Application and implementation of NCUT in image segmentation)
k-means
- 实现k均值聚类算法,可以使用彩色图像,通过随机初始化聚类中心,完成聚类(The K-means clustering algorithm can use color images to initialize cluster centers randomly and accomplish clustering.)
FCM
- 模糊C均值(FCM)聚类算法分割图像,该算法可以进行图像的分割(Fuzzy C-Means (FCM) clustering algorithm to segment images, which can be used for image segmentation)
K-means图像识别
- 利用K-means对图像进行聚类,识别。您可以设置参数达到更好的识别效果(Using K-means to cluster and identify images.You can set parameters to achieve better recognition results)