realtimesuperpixel-master

所属分类:图形图像处理
开发工具:Visual C++
文件大小:2552KB
下载次数:8
上传日期:2018-01-11 11:54:41
上 传 者SpringMVC
说明:  运用基于密度的聚类算法实现了超像素的分割
(The segmentation of super pixels is realized by using the clustering algorithm based on density)

文件列表:
166_6636.txt (1358045, 2017-09-16)
196015.txt (746998, 2018-01-05)
196015result.bmp (463578, 2018-01-05)
3096.txt (642947, 2017-09-16)
37073.txt (751255, 2017-09-16)
41004.txt (690213, 2017-09-16)
DBscan_mex.mexw32 (19456, 2017-05-19)
DBscan_mex.mexw64 (18432, 2017-05-19)
UI.m (560, 2017-12-12)
code (0, 2017-09-14)
code\DBscan.h (12616, 2017-09-13)
code\DBscan_mex.cpp (2137, 2017-05-19)
code\DBscan_mex.mexw64 (24064, 2017-05-19)
code\DisplaySuperpixel.m (1131, 2018-01-05)
code\SuperpixelSave.m (405, 2017-05-19)
code\pixelQuery.h (622, 2017-05-19)
code\regionQuery.h (6937, 2017-12-22)
code\supiel_neighbs.h (830, 2017-05-19)
demo_DBSCAN.m (1445, 2017-09-16)
ground.m (1134, 2018-01-02)
imgs (0, 2017-12-11)
imgs\134052.jpg (65548, 2015-12-28)
imgs\15088.jpg (57578, 2015-12-28)
imgs\166_6636.JPG (36308, 2015-12-28)
imgs\166_6637.JPG (43865, 2015-12-28)
imgs\179084.jpg (51776, 2015-12-28)
imgs\196015.jpg (66079, 2015-12-28)
imgs\3096.jpg (30773, 2017-05-19)
imgs\3096.txt (642947, 2017-12-11)
imgs\3096result.bmp (463578, 2017-12-11)
imgs\37073.jpg (66481, 2017-05-19)
imgs\41004.jpg (47548, 2015-12-28)
matlab.mat (941, 2018-01-02)
tip16dbscan.pdf (1998540, 2017-05-19)

% This is the matlab re-implementation code of the algorithm in the TIP16 paper. % You should compile the cpp file using visual studio 2008 or later version % -- mex DBscan_mex.cpp % Please run the demo code "demo_DBSCAN.m". %====================================================================== % If you are using this code in your publication, % please cite our paper, Thanks. %====================================================================== % J. Shen, X. Hao, Z. Liang, Y. Liu, W. Wang, and L. Shao, % Real-time Superpixel Segmentation by DBSCAN Clustering Algorithm, % IEEE Trans. on Image Processing, 25(12):5933-5942, 2016 %====================================================================== % Any further questions, please send email to: shenjianbing@bit.edu.cn or shenjianbingcg@gmail.com %======================================================================

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