文件列表:

GCSeg.mexw32 (32768, 2008-07-16)
kmeansColor.p (1246, 2008-07-16)
featuresExtract.p (15443, 2008-07-16)
MAPMLSeg.p (10411, 2008-07-16)
14037.jpg (46483, 2003-11-01)

This is the program of image segmentation based on the following work: S. Chen, L. Cao, J. Liu, and X. Tang, "Image Segmentation by MAP-ML Estimations", submitted to IEEE Transactions on Image Processing. Note that this program was only tested on 32-bit PCs installed with Windows XP or Windows Server 2003. Since the K-means algorithm used in this program is from Matlab Statistics Toolbox, the program runs slower than when a faster K-means algorithm is used which can be obtained at http://vision.ucsd.edu/~pdollar/toolbox/doc/. The program was tested using Matlab R14 and the image processing Matlab Toolbox is required to run it. This folder includes three Matlab P-code files and a Matlab Mex-file. MAPMLSeg.p is the main function and calls the other two P-code files and the Mex-file. MAPMLSeg.p: the main function to perform the segmentation. Usage: MAPMLSeg(sourcepath, filename, targetpath, CluNum, SmoothFac, IteNum) Input: sourcepath: the directory containing the image to be processed. filename: the filename of the image. targetpath: the directory to save the segmentation results (all results after different iterations). CluNum: the cluster number in the initial K-means algorithm (default value is 10). SmoothFac: the smoothness factor (default value is 4000). IteNum: the maximum iteration number (default value is 5). An Example: % segment an image in the current folder sourcepath = cd; filename = '14037.jpg'; targetpath = [sourcepath '\result']; MAPMLSeg(sourcepath, filename, targetpath, [], [], []); % [] represents the default value.

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：