搜索资源列表
kmeans
- 将彩色图像，转化到Lab空间，利用K-means类聚对图像进行分割-The color image is transformed into Lab space, the use of the class of K-means poly image segmentation
good
- 利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很-By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow
VBOAN
- 利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很-By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow
cerqorm
- 利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很-By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow
ypkhr
- 粒子图像分割及匹配均为自行编制的子例程，采用累计贡献率的方法，基于欧几里得距离的聚类分析。- Particle image segmentation and matching subroutines themselves are prepared, The method of cumulative contribution rate Clustering analysis based on Euclidean distance.
ouzzy-image
- 利用模糊聚类的方法对图像分割,效果不错,就是速度慢得很(By using the method of fuzzy clustering for image segmentation, the effect is good, speed is very slow)
MeanShift
- meanShift,均值漂移，在聚类、图像平滑、分割、跟踪等方面有着广泛的应用。一般是指一个迭代的步骤，即先算出当前点的偏移均值，然后以此为新的起始点，继续移动，直到满足一定的结束条件。(MeanShift, mean shift is widely used in clustering, image smoothing, segmentation, tracking and so on. Generally refers to an iterative step, that is, first
文档
- FCM图像聚类分割FCM image clustering segmentation(FCM image clustering segmentation)
slic
- 超像素分割图像，将彩色图像转化为CIELAB颜色空间和XY坐标下的5维特征向量，然后对5维特征向量构造距离度量标准，对图像像素进行局部聚类的过程(simple linear iterativeclustering)
Otsu方法
- opencv做的otsu方法,一、Otsu算法原理 Otsu算法（大津法或最大类间方差法）使用的是聚类的思想，把图像的灰度数按灰度级分成2个部分，使得两个部分之间的灰度值差异最大，每个部分之间的灰度差异最小，通过方差的计算来寻找一个合适的灰度级别来划分。 所以可以在二值化的时候采用otsu算法来自动选取阈值进行二值化。otsu算法被认为是图像分割中阈值选取的最佳算法，计算简单，不受图像亮度和对比度的影响。因此，使类间方差最大的分割意味着错分概率最小。 设t为设定的阈值。(otsu made
SOMDemo
- 用自组织映射网络进行聚类分析，然后可以用于颜色识别，图像分割(Clustering analysis using self-organizing mapping network can then be used for color recognition, image segmentation)
MeanShift
- meanshift可实现图像分割，聚类，在二维图像处理中应用比较广泛(meanshift can conduct image segmentation, clustering, etc. It has been widely used in computer vision and image processing.)
5
- 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，附参考论文资料。(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers are attached.)
6
- 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，附参考论文资料和相关解释。(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached.)
1
- 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，附参考论文资料和相关解释。多目标优化 一个含有两个优化目标的多目标优化问题(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. M
2p
- 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，附参考论文资料和相关解释。多目标优化 含有两个优化目标的多目标优化问题(The image edge is extracted by phase consistency, and the region growth is segmented after K-means clustering, and the reference papers and relevant explanations are attached. Mul
julie
- 基于K-means聚类算法的图像区域分割的程序实现(Cluster the function image.)
代码
- 模糊聚类方法的图像分割，即使用模糊C均值方法多次迭代产生聚类中心，分割图像(Image segmentation of FCM)