搜索资源列表
SWImage
- The Swendsen-Wang Cuts algorithm is used to label atomic regions (superpixels) based on their intensity patterns using generative models in a Bayesian framework. The prior is based on areas of connected components, which provides a clean segmentation
superpixels1.1
- 基于graph cuts 的super pixels 实现-superpixels based on graph cuts
superpixels
- 采用超像素进行分割图像，利用到了超像素和Ncut的方法，采用了c与maltab混合编程。-Code to compute superpixels. use cncut and superpixel code for segmentation. Mex program c and matlab
Superpixels
- VS2010编写。 超像素分割，包括源码、EXE可执行程序、测试图像、使用说明等。 代码完全可执行，不需引用其它库，不需进行其它设置。 超像素分割一般对图像分割会形成过分割，所以可将其作为一般图像分割前的预分割处理，可用于模式识别等领域，当然也可用于医学图像分割领域。-VS2010 writing. Pixel segmentation, including source code, EXE executable program, test images, use instru
TurboPixels
- 一个非常有用的超像素算法，用于图像分割,文件夹包含文章,采用matlab和c混编-a very useful superpixels algorithm，can be used for image segmentation,the file contatins paper,the matlab and c are mixed for exeution
NCsp
- 一个非常有用的基于图的超像素算法，用于图像分割，使用时请添加目录-a very useful superpixels algithn based on geraph theory, it can be used for image segmentation, please add file catalogue when used
superpixels
- 超像素块算法，已经试过绝对好用，sp_demo.m是主程序，用之前需要将c++和matlab建立联系-Super-pixel block algorithm' ve tried absolutely easy to use, sp_demo.m main program before using the c++ and matlab establish contact
CVPR12_SAS_code
- 2012 CVPR 文章：Segmentation Using Superpixels A Bipartite Graph Partitioning Approach对应的代码-2012 CVPR paper：Segmentation Using Superpixels A Bipartite Graph Partitioning Approach
floodfill
- 使用Flood Fill方法将图片分割为超像素-Segment the image into superpixels
SLIC-superpixels-segementation
- SLIC 超像素分割算法，分割速度快，效果好，使用c++实现，内含源码和相应的软件，只要一输入图像就能实现分割-SLIC super-pixel segmentation algorithm, split fast, good effect, use c++ achieve, containing the source code and the corresponding software, as long as the input image segmentation can be achie
SLIC2013
- 过分割算法，快速实现图像的超像素生成，生成效果比较好，可以供大家参考-SLIC agrithrom ，for superpixels producted
im_parser
- SuperParsing: Scalable Nonparametric Image Parsing with Superpixels 文章对应的程序包-SuperParsing: Scalable Nonparametric Image Parsing with Superpixels article corresponding package
SLIC_Superpixels
- 这是一个非常好的超像素的文章，非常适合初学者使用。-This is a very good article superpixels, very suitable for beginners to use.
ers-master
- ers图像超像素方法 该图像超像素方法是基于ers方法，可以对灰度图像（即二维）图像）进行超像素分割-ers image superpixels method of this method is based on image superpixels ers method, gray image (ie two-dimensional) image) super pixel division
TIP_14_SPL
- 基于多尺度超像素的显著性检测代码和文章-Saliency Detection with Multi-Scale Superpixels
eccv10-jtighe
- 基于超像素的可伸缩的非参数图像稀疏化 即超稀疏-SuperParsing: Scalable Nonparametric Image Parsing with Superpixels
Object-Detector
- 文献Improving an Object Detector and Extracting Regions using Superpixels的配套代码-code for paper: CVPR13_Improving an Object Detector and Extracting Regions using Superpixels
SLIC
- SLIC超像素分割，基于颜色和距离相似性进行超像素分割 亲测可用-SLIC superpixels division, based on color and distance similarity superpixels divided pro-test available
SLIC-and-DBSCAN-Image-Segmentation
- 改进的图像分割算法：运用SLIC超像素分割和DBSCAN聚类算法相结合的方法实现图像分割-Image Segmentation using SLIC SuperPixels and DBSCAN Clustering