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region-merging
- 图像分割that is right.region segmentation very good,you may see,that is right .-region segmentation very good,you may see,that is right.region segmentation very good,you may see,that is right.region segmentation very good,you may see,that is right.
MSRM_1
- 程序代码说明：本程序是应用于图像分割（区域合并）基于最大相似性区域合并的交互式图像分割 本代码绝对可用-Code Descr iption: This procedure is applied to image segmentation (region merging) region merging based on similarity of the largest interactive image segmentation of the code is absolutely free
10.1.1.80.8622
- 混合分水岭图像分割方法和快速区域合并的方法-Hybrid Image Segmentation Using Watersheds and Fast Region Merging
tan
- 图像分割，具体算法参考一下论文 Zhi-Gang Tan， Xiao-Chen Heand Nelson H. C. Yung A Novel Merging Criterion Incorporating Boundary Smoothness and Region Homogeneity for Image Segmentation-Abstract A novel joint region merging criterion combining region ho
MSRM
- this will helpful for region merging algorithm
StatisticalRegionMerging
- image segmentation From the paper : Nock, Richard and Nielsen, Frank 2004. Statistical Region Merging. IEEE Trans. Pattern Anal. Mach. Intell. 26, 11 (Nov. 2004), 1452-1458.-image segmentation with statistical region merging
split_merge
- 通过区域分裂和合并对图像区域完成分裂合并的算法-Through the regional division and the completion of the merger on the image region splitting and merging algorithm
Interactive_Image_Segmentation_by_Maximal_Similari
- 实现了区域合并的图像分割的经典方法，是Interactive Image Segmentation by Maximal Similarity based Region Merging 论文的源码，可以好好研究-Regional integration to achieve the classic method of image segmentation is the Interactive Image Segmentation by Maximal Similarity based Regio
srg
- statistical region merging
imagesegmentation
- 压缩文件里有四种图像分割的算法源代码，即阈值法、区域增长法、分裂合并法和K均值法。图片可用于检验。-The rar folder includes four source code of image segmentation,ie.thresholding, region growing, splitting and merging, kmeans. The images are able to be used for evaluation and verification.
ezbp_v0
- The software for our localized graph cut algorithm is available: B. Peng, L. Zhang, D. Zhang and J. Yang, “Image Segmentation by Iterated Region Merging with Localized Graph Cuts”, to appear in Pattern Recognition
Snake-model-bsegmentation-method
- 改进的T- Snake 算法首先在分水岭法中, 对相邻区域以其像素数、灰度均值和灰度方差定义距离, 并据其在图像上建立新的连通图, 以对图像过度分割而产生的一些过小区域合并 其次, 在模型跨边缘时, 利用已分割断层图像中模型内部区域的统计特征, 用区域生长法获取内点并重新参数化模型, 使模型不再跨边缘, 以保证模型形变到正确的边缘-Improved T-Snake algorithm first law in the watershed, the number of pixels in its
srg
- SRG 图像分割，一个很好的算法，可以参考下面的文章 。我们已经用他在4个通道的tiff图像进行了修改-Frank Nielsen and Richard Nock, "On Region Merging: the Statistical Soundness of Fast Sorting, with Applications",
RM
- 区域合并：本程序的区域合并不同于其他方法的区域合并，该合并基于温度的大小来决定是否要合并。-Region merging: the area of this program to merge the region merging different from other methods, to decide whether to merge the merger based on the size of the temperature.
region-merging-RAG
- 区域邻接图的合并规则，在进行区域合并时可以使用，希望对大家有用-region merging for region adjecent gragh，might it be help for you.
GVD
- Active Contour (or Snake) Model is recognized as one of the efficient tools for 2D/3D image segmentation. How- ever, traditional snake models prove to be limited in sev- eral aspects. The presentpaper describes a set of difision equations applied ro
Mean-Shift-Segmentation-Method
- Mean Shift算法的基本原理，着重研究了Mean Shift的迭代过程和收敛性以及特征空间的结构。通过Mean Shift结构分析，本章提出了一种快速区域合并算法并将其应用于改进的Mean Shift图像分割算法。-The basic principle of the Mean Shift algorithm, focusing on the Mean Shift iteration process and convergence and the structure of the feat
dynamic-region-merging
- In the proposed algorithm, these two issues are solved by a novel predicate, which is defined by the sequential probability ratio test (SPRT) and the minimal cost criterion. Starting from an over-segmented image, neighboring regions are progressivel
region-merging
- It s a technic of merging the graph.
Region-Merging
- 彩色图像区域合并算法，高斯分布，有注释，后来用于极化SAR伪彩色图区域分割，引入Wishart分布-Region merging for color image