FLCM
所属分类：图形图像处理
开发工具：Visual C++
文件大小：498KB
下载次数：80
上传日期：2012-04-30 16:08:55
上 传 者：
arami54
说明： 基于FCM的改进加入空间信息用于图像分割，可以正确的估计邻域信息的关系
(Based on the FCM improvements by adding spatial information for image segmentation, the correct estimate of the relationship between neighborhood information)
文件列表:
FLICM1（作者）\brain.tif (65466, 2011-10-12)
FLICM1（作者）\brain_n.tif (65722, 2011-10-12)
FLICM1（作者）\brain_result(change).bmp (105326, 2011-10-12)
FLICM1（作者）\brain_result(origin).bmp (105326, 2011-10-12)
FLICM1（作者）\eight_gaussi_result(0.02change).bmp (119878, 2011-10-12)
FLICM1（作者）\eight_gaussi_result(0.02origin).bmp (119878, 2011-10-12)
FLICM1（作者）\eight_gaussi_result(0.05change).bmp (119878, 2011-10-12)
FLICM1（作者）\eight_salt.bmp (119878, 2011-10-12)
FLICM1（作者）\eight_salt_result(0.02change).bmp (119878, 2011-10-12)
FLICM1（作者）\eight_salt_result(0.02origin).bmp (119878, 2011-10-12)
FLICM1（作者）\eight_salt_result(0.03change).bmp (119878, 2011-10-12)
FLICM1（作者）\eight_salt_result(0.03origin).bmp (119878, 2011-10-12)
FLICM1（作者）\eight_salt_result(0.05origin).bmp (119878, 2011-10-12)
FLICM1（作者）\FLICM.c (4888, 2011-10-12)
FLICM1（作者）\FLICM.mexw32 (20480, 2011-10-18)
FLICM1（作者）\FLICM_clustering.m (1912, 2011-10-18)
FLICM1（作者）\Image12.bmp (103478, 2011-09-14)
FLICM1（作者）\test_FLICM.m (327, 2011-10-18)
FLICM1（作者）\Thumbs.db (103424, 2012-04-30)
FLICM1（作者）\House.tiff (196800, 2008-12-13)
FLICM1（作者）\Cameraman256.png (37559, 2011-09-25)
FLICM1（作者）\lena_gray_256.tif (65798, 2011-09-25)
FLICM1（作者）\FLICM.dll.old (8704, 2011-10-12)
FLICM1（作者）\FLICM_clustering.asv (1819, 2011-10-18)
FLICM1（作者）\test_FLICM.asv (327, 2011-10-18)
FLICM1（作者） (0, 2012-04-21)
Matlab software for FLICM algorithm
Authors: Stelios Krinidis and Vassilios Chatzis
Emails: stelios.krinidis@mycosmos.gr and chatzis@teikav.edu.gr
This software implements the approach presented in
S. Krinidis and V. Chatzis: A Robust Fuzzy Local Information C-means Clustering Algorithm.
IEEE Trans. on Image Processing (TIP), vol. 19, no. 5, pp. 1328-1337, May 2010.
Please cite this paper when using this software.
Important Notices:
1. The code is not optimized, so the running time could be more than the expected.
2. Thank you again for using this software.
Using the code:
Everything was done in Matlab and MEX (i.e. a C function callable from Matlab).
First, the C code needs to be compiled. At the Matlab prompt, type:
mex FLICM.c
Now the code is ready to run. A running example you can see in
test_FLICM.m
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