搜索资源列表
bayesian_kmeans_bp
- 贝叶斯分类程序，用于图像的分割，二值化等，是模式识别中的一种基本分类方法。 k均值聚类，神经网络-Bayesian classification procedures for image segmentation, binarization is a basic classification in pattern recognition. k-means clustering, neural networks
K1092013005K-
- K均值聚类算法 对图像颜色进行行聚类 然后对图像分割可直接使用。 -K-means clustering algorithm for image color line clustering and image segmentation can be used directly.
MATLAB-image-processing
- 设计一个MATLAB界面，用于图像处理，实现了灰度拉伸，K邻近均值滤波，FFT变换，同态滤波，边缘检测，图像分割，均衡化等-A MATLAB interface design for image processing, gray stretch, K neighboring mean filtering, FFT transform, homomorphic filtering, edge detection, image segmentation, equalization
Twenliie
- 基于纹理的图像分割的Matlab源代代码,应用小波和K均值聚类-matlab -Texture-based image segmentation Matlab source generation of code, the application of wavelet and K-means clustering-matlab
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
Texture_moasic
- 基于灰度共生矩阵和K均值聚类的纹理图像分割，MATLAB实现-texture image segmentation
k_mean_seg
- 利用k均值算法对图像色彩进行聚类分割，将图像中色彩相近的分割成一块。一种很好的图像分割算法。-K-means clustering segmentation algorithm for image color, the color in the image is divided into a similar. A good image segmentation algorithm.
k_mean_diff
- 首先进行帧差处理，根据得到的帧差进行k均值算法，完成图像分割-First frame difference processing, k-means algorithm based on frame difference, to complete the image segmentation
kmeans_image-segmentation
- kmeans_图像分割代码,能为深刻了解K均值算法提供一些帮助!-the kmeans_ image segmentation code, to provide some help for a deep understanding of the K-means algorithm!
kmeans
- Kmeans K均值聚类，对图像进行分割~效果很好-Kmeans segmentation
image-segmentation
- K均值用于图像分割。 图像分割依据不同的颜色块进行聚类，对于相同颜色但深浅不同的目标可以进一步进行聚类然后分割。-The mean K used in image segmentation
kkmeans
- k 均值算法用于图像分割,根据灰度图自适应地确定分类数并进行分割，需要先用k均值初始化-k’-means algorithm for image segmentation, based on grayscale adaptively determine the number of classification and segmentation, you need to use the k-means initialization
DRLSE_v0
- 用于图像分割，是K均值的一种改进形式，较好地分割了图像-for image segmentation
pic
- 用c#和emgucv实现了hough变换检测圆和最大类间方差和k均值聚类分割图像，k均值聚类的函数可填写分类数和迭代次数的阈值，而且是基于灰度的。（ps：函数都是自己实现的，但是读取图片信息用的是emgucv自带的函数）-With c# and emgucv achieved between hough transform circle detection and maximum variance and k-means clustering image segmentation, the fu
kmeans_fast_Color
- 一个快速k均值彩色图像的分割算法，运行环境是matlab！-A fast k-means algorithm for color image segmentation, the operating environment is matlab!
Image-segmentation
- K均值，ISODATA算法进行图像分割算法-K-means, ISODATA algorithm for image segmentation algorithm
kmeans_segment
- 利用K均值进行图像分割，无需利用“苹果为红色”这个先验知识，而只需利用图像本身的特征——前景与背景区别较明显-The use of K-means image segmentation, without the use of " red apple" This a priori knowledge, and simply use the characteristics of the image itself- the more obvious differences betwe
kmeans
- K均值聚类算法，可用于图像分割，算法简单有效-K-means clustering algorithm can be used to image segmentation and it is simple and effective
kmeans
- matlab 基于K均值聚类算法的图像分割-K-means clustering algorithm for image segmentation
litekmeans
- 基于图像分割的k均值，聚类法的区域生长方法。缺点是需要提前确定分割类别-kmeans of image