文件列表:

hashingToolbox0_1beta\DemoImages\bridge.tif (65710, 2004-10-08)
hashingToolbox0_1beta\DemoImages\bridge_jpeg.jpg (20840, 2004-10-09)
hashingToolbox0_1beta\DemoImages\bridge_RNDDIST_0.17.bmp (66614, 2004-10-13)
hashingToolbox0_1beta\DemoImages\bridge_rotate-25.tif (128932, 2004-10-09)
hashingToolbox0_1beta\DemoImages\gold_contrast.tiff (62730, 2005-07-15)
hashingToolbox0_1beta\DemoImages\gold_JPEG_10.jpg (2953, 2005-07-15)
hashingToolbox0_1beta\DemoImages\gold_stirmark_random_bend.jpg (20604, 2005-07-15)
hashingToolbox0_1beta\DemoImages\goldhill.bmp (66614, 2005-07-15)
hashingToolbox0_1beta\DemoImages\lena_256.tiff (66436, 2005-06-17)
hashingToolbox0_1beta\DemoImages\lena_color.jpg (20401, 2005-06-29)
hashingToolbox0_1beta\DemoImages\lena_contrast.tiff (65170, 2005-06-29)
hashingToolbox0_1beta\DemoImages\lena_contrast_compress.tiff (46606, 2005-07-16)
hashingToolbox0_1beta\DemoImages\lena_Gaussian_filtering_3_3.jpg (13704, 2005-06-17)
hashingToolbox0_1beta\DemoImages\lena_randAffine.tiff (66268, 2005-07-16)
hashingToolbox0_1beta\DemoImages\lena_random_affine1.tiff (65868, 2005-06-29)
hashingToolbox0_1beta\DemoImages\lena_random_affine2.tiff (65822, 2005-06-29)
hashingToolbox0_1beta\DemoImages\lena_randomIntensityScaling.tiff (66362, 2005-06-29)
hashingToolbox0_1beta\DemoImages\lena_rotation_scale_5.00.jpg (16743, 2005-06-17)
hashingToolbox0_1beta\DemoImages\lena_shearing_x_5.00_y_5.00.jpg (15764, 2005-06-17)
hashingToolbox0_1beta\DemoImages\lena_stirmark_random_bend.jpg (16518, 2005-06-17)
hashingToolbox0_1beta\DemoImages\man_256.tiff (66158, 2005-06-17)
hashingToolbox0_1beta\affinefeat.m (650, 2006-06-13)
hashingToolbox0_1beta\affinefeatnot1.m (1079, 2006-06-13)
hashingToolbox0_1beta\affinefeatnot.m (1169, 2010-10-08)
hashingToolbox0_1beta\boxdistrans.m (2375, 2006-06-13)
hashingToolbox0_1beta\choseImpPointsWithoutZeros.m (1687, 2006-06-11)
hashingToolbox0_1beta\COPYRIGHT.txt (908, 2006-06-13)
hashingToolbox0_1beta\createstruct.m (509, 2006-06-11)
hashingToolbox0_1beta\featurepointhash.m (964, 2006-06-12)
hashingToolbox0_1beta\finalcalsize.m (3932, 2006-06-10)
hashingToolbox0_1beta\findCornerStep1.m (1366, 2006-06-10)
hashingToolbox0_1beta\findCornerStep2.m (2275, 2006-06-10)
hashingToolbox0_1beta\furthercal.m (3091, 2006-06-10)
hashingToolbox0_1beta\getParamsDWT.m (652, 2006-06-13)
hashingToolbox0_1beta\getParamsSVD.m (552, 2006-06-13)
hashingToolbox0_1beta\hashbySVD.m (1677, 2006-06-12)
hashingToolbox0_1beta\hashingdemo.m (6566, 2006-06-13)
hashingToolbox0_1beta\hausdorff.m (1459, 2006-06-10)
hashingToolbox0_1beta\hgicf2im.m (904, 2006-06-13)
hashingToolbox0_1beta\hmscarp2.m (1792, 2006-06-13)
... ...

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\jcompress\viewkind1\viewscale100\nolnhtadjtbl\rsidroot2776***4 \fet0\sectd \linex0\sectdefaultcl\sftnbj {\*\pnseclvl1\pnucrm\pnstart1\pnindent720\pnhang {\pntxta .}}{\*\pnseclvl2\pnucltr\pnstart1\pnindent720\pnhang {\pntxta .}}{\*\pnseclvl3 \pndec\pnstart1\pnindent720\pnhang {\pntxta .}}{\*\pnseclvl4\pnlcltr\pnstart1\pnindent720\pnhang {\pntxta )}}{\*\pnseclvl5\pndec\pnstart1\pnindent720\pnhang {\pntxtb (}{\pntxta )}}{\*\pnseclvl6\pnlcltr\pnstart1\pnindent720\pnhang {\pntxtb (}{\pntxta )}} {\*\pnseclvl7\pnlcrm\pnstart1\pnindent720\pnhang {\pntxtb (}{\pntxta )}}{\*\pnseclvl8\pnlcltr\pnstart1\pnindent720\pnhang {\pntxtb (}{\pntxta )}}{\*\pnseclvl9\pnlcrm\pnstart1\pnindent720\pnhang {\pntxtb (}{\pntxta )}}\pard\plain \ql \li0\ri0\nowidctlpar\faauto\rin0\lin0\itap0 \fs24\lang1033\langfe1033\cgrid\langnp1033\langfenp1033 {\b\f1\fs20\insrsid7429224 \par }{\b\f1\fs20\insrsid2188867\charrsid2188867 Authors}{\b\f1\fs20\insrsid2776***4\charrsid2188867 \par }{\f1\fs20\insrsid2188867 \par The primary programmers are Vishal Monga and Divyanshu Vats, written under the supervision of Prof. Brian L. Evans. \par \par }{\b\f1\fs20\insrsid2776***4 Description}{\f1\fs20\insrsid2776***4 \par }{\f1\fs20\insrsid2776***4\charrsid7429224 \par }\pard \ql \li0\ri0\widctlpar\faauto\rin0\lin0\itap0\pararsid7429224 {\f1\fs20\insrsid7429224\charrsid7429224 The hashingdemo performs an automated test for a}{\f1\insrsid16676855 }{\f1\fs20\insrsid7429224\charrsid7429224 perceptual match of two images. This is done by}{\f1\insrsid16676855 }{\f1\fs20\insrsid7429224\charrsid7429224 computing hashes from the two images and comparing}{\f1\insrsid16676855 }{\f1\fs20\insrsid7429224\charrsid7429224 the hash vectors for a meaningful notion of distance.}{\f1\insrsid16676855 }{\f1\fs20\insrsid7429224\charrsid7429224 Image hashing methods included in this demo are:}{\f1\insrsid7429224\charrsid7429224 \par }{\f1\fs20\insrsid7429224\charrsid7429224 }{\f1\insrsid7429224\charrsid7429224 \par }{\f1\fs20\insrsid7429224\charrsid7429224 1. }{\f1\fs20\insrsid3438395 Discrete }{\f1\fs20\insrsid7429224\charrsid7429224 Wavelet }{\f1\fs20\insrsid3438395 Transform (DWT) }{\f1\fs20\insrsid7429224\charrsid7429224 Based Image Hash [Venkatesan et al., 2000]}{\f1\insrsid7429224\charrsid7429224 \par }{\f1\fs20\insrsid7429224\charrsid7429224 2. Hashing Via Singular Value Decomposition }{\f1\fs20\insrsid3438395 (SVD) }{\f1\fs20\insrsid7429224\charrsid7429224 [Kozat et al. 2004] }{\f1\insrsid7429224\charrsid7429224 \par }{\f1\fs20\insrsid7429224\charrsid7429224 3. Feature Point Based Image Hashing [Monga & Evans, 2004-06]}{\f1\insrsid7429224\charrsid7429224 \par }{\f1\fs20\insrsid7429224\charrsid7429224 }{\f1\insrsid7429224\charrsid7429224 \par }\pard \ql \li0\ri0\nowidctlpar\faauto\rin0\lin0\itap0 {\b\f1\fs20\insrsid2776***4 System Requirements \par }{\f1\fs20\insrsid2776***4 \par }{\f1\fs20\insrsid7429224 MATLAB 6.1 or 6.5 or higher \par }{\f1\fs20\insrsid2776***4 Image Proces}{\f1\fs20\insrsid7429224 sing Toolbox }{\f1\fs20\insrsid2776***4 \par }{\f1\fs20\insrsid7429224 Wavelet Toolbox \par }{\f1\fs20\insrsid2776***4 \par }{\b\f1\fs20\insrsid7429224\charrsid7429224 Using the Code \par }{\f1\fs20\insrsid7429224 \par }\pard \ql \li0\ri0\nowidctlpar\faauto\rin0\lin0\itap0\pararsid7429224 {\f1\fs20\insrsid7429224 Start the demo by typing \'93hashingdemo\'94 from the MATLAB command prompt}{\f1\fs20\insrsid7429224\charrsid7429224 \par }\pard \ql \li0\ri0\nowidctlpar\faauto\rin0\lin0\itap0 {\f1\fs20\insrsid7429224 \par {\listtext\pard\plain\f3\fs20\insrsid7429224 \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \ql \fi-360\li720\ri0\nowidctlpar\jclisttab\tx720\faauto\ls1\rin0\lin720\itap0\pararsid7429224 {\f1\fs20\insrsid7429224 Typing help filename.m yields useful help information for each }{\f1\fs20\insrsid8008216 .m }{\f1\fs20\insrsid7429224 file}{\f1\fs20\insrsid8008216 in the toolbox}{\f1\fs20\insrsid7429224 \par {\listtext\pard\plain\f3\fs20\insrsid7429224 \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \ql \fi-360\li720\ri0\nowidctlpar\jclisttab\tx720\faauto\ls1\rin0\lin720\itap0 {\f1\fs20\insrsid7429224 Description of algorithm parameters for each hash algorithm is available in the following files: \par {\listtext\pard\plain\f1\fs20\insrsid7429224\charrsid7429224 \hich\af1\dbch\af0\loch\f1 1.\tab}}\pard \ql \fi-360\li1080\ri0\nowidctlpar\jclisttab\tx1080\faauto\ls2\rin0\lin1080\itap0\pararsid7429224 {\f1\fs20\insrsid7429224\charrsid7429224 Wavelet Based Image Hash [Venkatesan et al., 2000]}{\f1\fs20\insrsid7429224 \endash }{\b\f1\fs20\insrsid7429224\charrsid7429224 wavelethash.m}{\f1\fs20\insrsid7429224 \par {\listtext\pard\plain\f1\fs20\insrsid7429224\charrsid7429224 \hich\af1\dbch\af0\loch\f1 2.\tab}}{\f1\fs20\insrsid7429224\charrsid7429224 Hashing Via Singular Value Decomposition [Kozat et al. 2004]}{\f1\fs20\insrsid7429224 \endash }{ \b\f1\fs20\insrsid7429224\charrsid7429224 hashbySVD.m}{\f1\fs20\insrsid7429224\charrsid7429224 \par {\listtext\pard\plain\f1\fs20\insrsid7429224\charrsid7429224 \hich\af1\dbch\af0\loch\f1 3.\tab}Feature Point Based Image Hashing [Monga & Evans, 2004-06]}{\f1\fs20\insrsid7429224 \endash }{\b\f1\fs20\insrsid7429224\charrsid7429224 MakeFeatures.m}{ \f1\fs20\insrsid7429224 \par {\listtext\pard\plain\f3\fs20\insrsid7429224 \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \ql \fi-360\li720\ri0\nowidctlpar\jclisttab\tx720\faauto\ls1\rin0\lin720\itap0\pararsid7429224 {\f1\fs20\insrsid7429224 Some sample images for comparisons are available in the directory DemoImages \endash two example images are read in by default. To compare your own pair of images modify }{\b\f1\fs20\insrsid7429224\charrsid16676855 passImages.m}{\f1\fs20\insrsid7429224 \par {\listtext\pard\plain\f3\fs20\insrsid3438395 \loch\af3\dbch\af0\hich\f3 \'b7\tab}}\pard \ql \fi-360\li720\ri0\nowidctlpar\jclisttab\tx720\faauto\ls1\rin0\lin720\itap0\pararsid3438395 {\f1\fs20\insrsid3438395 Files runSVDHash.m, runWaveletHash.m, runFPHash.m contain detection thresholds for each hash algorithm \endash these were experimentally optimized for each algorithm. The user may changes this to vary robustness. But if you do be sure to save the original values. \par }\pard \ql \li0\ri0\nowidctlpar\faauto\rin0\lin0\itap0\pararsid7429224 {\f1\fs20\insrsid7429224 \par \par }}

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