搜索资源列表
K-Mean
- 遥感影像K均值分类算法，针对bmp彩色图像。VC++6.0编程实现。-K means of remote sensing image classification algorithm for bmp color images. VC++6.0 programming.
juleiseg
- 基于matlab的彩色图像分割，利用k聚类算法-Matlab-based color image segmentation, clustering algorithm using k
109201305K
- K均值聚类算法 对图像颜色进行聚类 然后对图像分割-K-means clustering algorithm to cluster the color image segmentation and then
K-Means-Color-Reduction
- 基于K-MEANS的图像退色算法。平台为MATLAB6.5及以上。-Based on the K-MEANS algorithm image fade
k-means_ColorImage_Segmentation
- This program written in MATLAB will find the clusters centriods using the K-Means algorithm for color images
K_MeansSeg
- KMeans图像聚类分割：用K-Means聚类方法来对图像进行分割。主要是对图像的颜色进行聚类。开发环境：VC6，需要安装OpenCV。-KMeans clustering in image segmentation: with K-Means clustering approach to image segmentation. Mainly the color of the image cluster. Development Environment: VC6, need to install
NanoX_app
- nano- X是一个著名的开放式源码嵌入式GUI 软件，目的是把图形视窗环境引入到运行Linux 的小型设备和平台上。nano-X使用了分层设计的思想，可移植性非常好，nano-X 的图形引擎能够运行在任何支持readpixel，writepixel，drawhorzline, drawvertline 和setpalette 的系统之上，在底层函数的支持之下，nano-X 支持新的Linux内核帧缓存结构，并基于framebuffer来实现图像的绘制。nanox应用程序运行时占用的资源较少，s
color-image-segment-code
- 这是一个关于彩色图像分割的报告，内含源代码及处理结果等，图像分割采用K-mean聚类分割方法。-K-mean cluster segment
K_means-image-segmentation
- 将彩色图像从RGB转化到lab彩色空间，进行K-mean聚类将图像分割-The color image in RGB color space conversion to lab space , K-mean clustering image segmentation
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- 对彩色图像进行K均值的图像分割，可用于模式识别-K on the mean color image segmentation, can be used for pattern recognition
color-segment-by-k-means
- Here we use k-mean algorithm to fuse the colorspace for segmentation
apple
- 利用K均值进行图像分割,利用颜色模型（HSV或HSI等）-Image segmentation using K mean, the use of color model (HSV or HSI, etc.)