文件名称:work
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- 上传时间：2012-11-16
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文件大小：2.94mb
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针对FCM算法的运行时间长和计算量大的问题，提出了改进的FCM算法，先将图像分割成窗口大小的子块，然后以子块为单位提取特征向量，用FCM聚类粗分割，然后对边缘子块，以像素为单位从新提取特征向量，进行细分割。分割后的结果提高了运行速度和分割精度。-For the FCM algorithm and the calculation of long run the problem of large proposed improved FCM algorithm, first image into blocks the size of the window, and then sub-block feature vector extraction unit, using FCM clustering coarse partition, and then block on the edge, in pixels from the new Feature Extraction, for fine segmentation. Improve the segmentation results after the speed and accuracy of segmentation.
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下载文件列表
work/12.fig
work/1234.fig
work/13.fig
work/147.bmp
work/2.fig
work/234.asv
work/asd
work/biaozhun.bmp
work/biaozhun4.bmp
work/f2.fig
work/fc.asv
work/fc.m
work/fcm2.fig
work/fcm2.m
work/fcm3.fig
work/fcm3.m
work/fcmd.fig
work/fcmnew1.fig
work/fcmnew1.m
work/fcmnew10.fig
work/fcmnew10.m
work/fcmw.m
work/fd.asv
work/fengehoudetuxiang.fig
work/fun.asv
work/func.asv
work/func.m
work/func_DWT.asv
work/func_DWT.m
work/func_Main.asv
work/func_Main.m
work/func_Main2.asv
work/func_Main2.m
work/func_Main3.asv
work/func_Main3.m
work/func_Main4.asv
work/func_Main4.m
work/func_Mywavedec2.asv
work/func_wavelet.asv
work/func_wavelet.m
work/func_wavelet_packet.asv
work/func_wavelet_packet.m
work/hs_err_pid3804.log
work/K.asv
work/k.bmp
work/K.m
work/km2.fig
work/kmeans2.fig
work/kmeans2.m
work/kmeans3.fig
work/kmeans3.m
work/kmeans4.fig
work/kmeans4.m
work/kmeansnew0.fig
work/kmeansnew0.m
work/kmnew10.fig
work/kmnew10.m
work/kw4.fig
work/Lenna.bmp
work/lianxi.asv
work/lianxi.m
work/ll.asv
work/ll.m
work/lmi.asv
work/lmi.m
work/lmilianxi.m
work/my_syn1_result.mat
work/new0.bmp
work/new1.bmp
work/new10.jpg
work/new2.bmp
work/new2_1.bmp
work/new3.bmp
work/new4.bmp
work/new5.bmp
work/page.png
work/sar.bmp
work/tiaoshi.asv
work/tshape.png
work/Untitled.asv
work/untitled.fig
work/Untitled.m
work/Untitled2.asv
work/w4.bmp
work/wenli2.bmp
work/wenli4.bmp
work/wenlifenge.asv
work/ww.asv
work/ww.bmp
work/yf2.fig
work/yuan1.fig
work/yuankm2.fig
work
work/1234.fig
work/13.fig
work/147.bmp
work/2.fig
work/234.asv
work/asd
work/biaozhun.bmp
work/biaozhun4.bmp
work/f2.fig
work/fc.asv
work/fc.m
work/fcm2.fig
work/fcm2.m
work/fcm3.fig
work/fcm3.m
work/fcmd.fig
work/fcmnew1.fig
work/fcmnew1.m
work/fcmnew10.fig
work/fcmnew10.m
work/fcmw.m
work/fd.asv
work/fengehoudetuxiang.fig
work/fun.asv
work/func.asv
work/func.m
work/func_DWT.asv
work/func_DWT.m
work/func_Main.asv
work/func_Main.m
work/func_Main2.asv
work/func_Main2.m
work/func_Main3.asv
work/func_Main3.m
work/func_Main4.asv
work/func_Main4.m
work/func_Mywavedec2.asv
work/func_wavelet.asv
work/func_wavelet.m
work/func_wavelet_packet.asv
work/func_wavelet_packet.m
work/hs_err_pid3804.log
work/K.asv
work/k.bmp
work/K.m
work/km2.fig
work/kmeans2.fig
work/kmeans2.m
work/kmeans3.fig
work/kmeans3.m
work/kmeans4.fig
work/kmeans4.m
work/kmeansnew0.fig
work/kmeansnew0.m
work/kmnew10.fig
work/kmnew10.m
work/kw4.fig
work/Lenna.bmp
work/lianxi.asv
work/lianxi.m
work/ll.asv
work/ll.m
work/lmi.asv
work/lmi.m
work/lmilianxi.m
work/my_syn1_result.mat
work/new0.bmp
work/new1.bmp
work/new10.jpg
work/new2.bmp
work/new2_1.bmp
work/new3.bmp
work/new4.bmp
work/new5.bmp
work/page.png
work/sar.bmp
work/tiaoshi.asv
work/tshape.png
work/Untitled.asv
work/untitled.fig
work/Untitled.m
work/Untitled2.asv
work/w4.bmp
work/wenli2.bmp
work/wenli4.bmp
work/wenlifenge.asv
work/ww.asv
work/ww.bmp
work/yf2.fig
work/yuan1.fig
work/yuankm2.fig
work
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