当前位置:
首页 资源下载
搜索资源 - k-means segmentation
搜索资源列表
-
0下载:
image segmentation by using k means clustering algorithm
-
-
1下载:
图像分割 matlab 直接运行 基于k均值-Matlab image segmentation based on k-means run directly
-
-
2下载:
一种融合了色彩信息和空间信息的色彩分割算法,基于OpenCv,分割效果明显优于JSEG算法,K-means算法C-means算法等常见算法,是中科院863计划的项目,我进行了修改和平台移植,有详细的注释。-a efficient algorithm for colorful pic segmentation based on OpenCv
-
-
0下载:
基于lab色彩空间的k-means彩色图像分割算法-color picture segmentation based on lab color-space and k-means
-
-
0下载:
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
-
-
0下载:
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!
-
-
0下载:
基于K-eans聚类算法的图像分割方法,对学习理解K-eans聚类能提供很大的帮助。-Image segmentation method based on K-eans clustering algorithm,which provides a great help in learning to understand the K-eans cluster.
-
-
0下载:
图像分解算法,四种方法可选,包括threshold, K means threshold, region growing以及gradient based segmentation-Image decomposition algorithm, four methods available, including the threshold, K means threshold, region growing and gradient based segmentation
-
-
0下载:
K均值聚类算法对图像进行分割,实验用程序,亲测可用。-K-means clustering algorithm for image segmentation, experimental procedures, pro-test is available.
-
-
0下载:
K均值,ISODATA算法进行图像分割算法-K-means, ISODATA algorithm for image segmentation algorithm
-
-
0下载:
k-means用于图像分割,其中包干用于测试的图像及测试的结果-k-means for image segmentation, it contains test images and the results
-
-
0下载:
一个很好的K均值的图像分割程序,很适合初学者用,可以很好的学习一下-
The initial k-means algorithm for image segmentation, it is suitable for beginners
-
-
0下载:
一个 k-means 分割彩色图像,很不错,试验了可以用,相当不错-
The initial k-means algorithm for image segmentation, it is suitable for beginners
-
-
0下载:
K均值聚类在Matlab中的代码实现,是图像分割和图像识别中常用处理操作-K-means clustering code in Matlab realize image segmentation and image recognition is commonly used in processing operations
-
-
0下载:
Here we use k-mean algorithm to fuse the colorspace for segmentation
-
-
0下载:
利用相位一致性提取图像边缘,K-means聚类后区域生长进行图像分割,附有参考资料-Using phase coherence image edge extraction, the K-means clustering region growing image segmentation, with reference
-
-
0下载:
SEGMENTATION K-MEANS
-
-
0下载:
针对目前传统的枸杞分级主要采用人工方法, 费时费力且效率不高的缺点, 提出了一种基于机器视觉技术对枸杞
进行自动分类的方法。 采用数字图像处理技术对枸杞图像进行了预处理、 分割 , 从而提取枸杞的色泽、 大小及形状等特征
参数; 用 K-means 算法对特征进行聚类, 得到枸杞相应等级的基准; 根据聚类分析得到的基准采用最小距离分类器对枸杞
进行分级。 实验结果表明 , 该方法能够准确快速地对不同色泽和大小的枸杞进行分类。-Traditional wolfberry sorting
-
-
0下载:
In this project ,segmentation method that uses the k means technique to track tumor objects in magnetic resonance (MR) brain images. The method can segment MR brain images to help radiologists distinguish exactly lesion size and region.
-
-
0下载:
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
-