搜索资源列表
histogram
- image segmentation K-means for image of color space RGB-image segmentation K-means for image of color space RGB
segwin
- alow to segment an image base on the k-means in the color domain using the rgb space. color segmenation
MARK_Kmeans
- 使用k-means算法对一副RGB色彩空间的图像作简单的聚类。根据命令行提示输入聚类的大小K，程序自动计算每一个像素点的归属并着色该点为该类的色彩均值。工程运行于VS2008环境，需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。-Using k-means algorithm on an RGB color space images to make a simple clustering. According to the command prompt enter the
Kmeans
- 一种基于K均值聚类的彩色图像颜色增强方法，输入已知前景部分RGB值，代码将根据设定值对输入图像进行重新聚类，并进行灰度图像颜色增强，以利于后续二值化处理-K-means clustering-based color image color enhancement method, enter the known foreground RGB values , the code will re-clustering of the input image according
rgb
- 基于颜色信息的图像分割，其中用到了了、k-means算法进行聚类，结果很好-a way to segmentation by color
Kmeans2forImage
- k均值聚类二值化字符图像，通过把RGB图像分割成不同区域-k-means clustering binarized character image, by RGB image segmentation into different regions
classification-and-fusion
- 基于VC6.0的MFC实现，功能包括：图像分类（K均值、ISODATA）、图像融合（基于高通滤波的加权融合和非加权融合、HIS融合）、直方图均衡化、直方图匹配、RGB与HIS之间的相互转换-based on MFC, functionality include: image classification(K means and ISODATA),image fusion(fusion based on HIS transformation and fusion based on high pas
Kmeans
- K均值聚类的代码，完整程序，有实验结果RGB显示，结果图和相应的灰度直方图-K-means clustering code, complete procedures, RGB is the result of the experiment showed that the figure and the corresponding gray histogram
final-code
- This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation
ColorTrain
- 从图像数据集中随机采样得到rgb集合，并使用k-means聚类训练RGB颜色码本，作为颜色特征-Get the RGB color features from the image dataset, and use k-means algorithm to get the RGB cluster centers which we could use to be color codebook
KmeansaFCM
- 在opencv环境下使用fuzzy c means和kmeans算法实现图片像素RGB值聚类，希望对大家有帮助-using fuzzy c means and k-means algorithm to realize the RGB image segmentation in opencv.
apple
- rgb转化为lab空间，k-means聚类，基本的图像处理如腐蚀膨胀等，分水岭分割方法分割标记-rgb converted to lab space, k-means clustering, basic image processing such as corrosion expansion, etc., watershed segmentation segmentation mark
fengeTU
- 根据图像的颜色对图像进行分割，里面有多个方法，一种是RGB色彩分割，一种是K均值聚类，还有对视频处理分割，有多个测试图-According to the color image on the image segmentation, there are multiple ways, one is RGB color segmentation, one is the K-means clustering, and video processing division, a plurality of t
segmentation-of-color-images
- 首先将RGB空间的彩色图像转换到LAB空间，然后利用K-means均值聚类方法对lab空间的彩色图像进行图像分割-this method of color image segmentation isbased on K-means and the Color space conversion between RGB and Lab
Intelligent-Image-Color-Reduction-and-Quantizatio
- In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M
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)
K—均值聚类提取
- k均值聚类提取，适合学习。先将RGB图像转换到LAB空间，在LAB空间进行聚类分割。(K-means clustering is suitable for learning. First convert the RGB image to LAB space and perform clustering and segmentation in the LAB space.)
Color Reduction and Quantization
- Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent c