文件名称:LGD_source_code
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For encoding, image is split in blocks and each block is then
converted to the training vector Xi = (xi1, xi2, ..….., xik ). The
codebook is searched for the nearest codevector Cmin by
computing squared Euclidean distance as presented in
equation (1) between vector Xi and all the codevectors of the
codebook
converted to the training vector Xi = (xi1, xi2, ..….., xik ). The
codebook is searched for the nearest codevector Cmin by
computing squared Euclidean distance as presented in
equation (1) between vector Xi and all the codevectors of the
codebook
(系统自动生成,下载前可以参看下载内容)
下载文件列表
LGD_source_code/1.bmp
LGD_source_code/2.bmp
LGD_source_code/3.bmp
LGD_source_code/4.bmp
LGD_source_code/5.bmp
LGD_source_code/Active contours driven by local Gaussian distribution fitting energy.pdf
LGD_source_code/Demo_LGD_1.m
LGD_source_code/Demo_LGD_2.m
LGD_source_code/Demo_LGD_3.m
LGD_source_code/Demo_LGD_4.m
LGD_source_code/Demo_LGD_5.m
LGD_source_code/evolution_LGD.m
license.txt
LGD_source_code/2.bmp
LGD_source_code/3.bmp
LGD_source_code/4.bmp
LGD_source_code/5.bmp
LGD_source_code/Active contours driven by local Gaussian distribution fitting energy.pdf
LGD_source_code/Demo_LGD_1.m
LGD_source_code/Demo_LGD_2.m
LGD_source_code/Demo_LGD_3.m
LGD_source_code/Demo_LGD_4.m
LGD_source_code/Demo_LGD_5.m
LGD_source_code/evolution_LGD.m
license.txt
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