| /external/mesa3d/src/gallium/auxiliary/vl/ |
| vl_matrix_filter.h | 29 gaussian, mean, laplacian, emboss, sharpness etc.. */
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| /frameworks/rs/tests/java_api/SSHealingBrush/src/rs/example/android/com/healingbrush/ |
| healing.rs | 25 float3 __attribute__((kernel)) laplacian(uint32_t x, uint32_t y) {
143 rsForEachWithOptions(laplacian, &opts, laplace);
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| /external/opencv/cv/src/ |
| cvderiv.cpp | 148 IPCV_FILTER_PTRS( Laplacian )
350 Laplacian Filter
417 "Laplacian can either transform 8u->16s, or 8u->32f, or 32f->32f.\n"
800 CvLaplaceFilter laplacian; local
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| /packages/apps/LegacyCamera/jni/feature_mos/src/mosaic/ |
| Pyramid.cpp | 187 // Expand and add (reconstruct from Laplacian)
195 // Expand and subtract (build Laplacian)
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| Blend.cpp | 360 // Generate Laplacian pyramids
365 LOGE("Error: Could not generate Laplacian pyramids");
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| /frameworks/rs/tests/java_api/HealingBrush/src/rs/example/android/com/healingbrush/ |
| healing.rs | 73 float3 __attribute__((kernel)) laplacian( uint32_t x, uint32_t y) {
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| /external/ImageMagick/ImageMagick/api/ |
| effect.html | 84 <dd>the standard deviation of the Laplacian, in pixels. </dd>
119 <dd>the standard deviation of the Laplacian, in pixels. </dd>
602 <dd>the standard deviation of the Laplacian, in pixels. </dd>
|
| morphology.html | 142 <dd> LoG:{radius},{sigma} "Laplacian of a Gaussian" or "Mexician Hat" Kernel. The supposed ideal edge detection, zero-summing kernel. </dd>
168 <dd> Laplacian:{type} Discrete Lapacian Kernels, (without normalization) Type 0 : 3x3 with center:8 surounded by -1 (8 neighbourhood) Type 1 : 3x3 with center:4 edge:-1 corner:0 (4 neighbourhood) Type 2 : 3x3 with center:4 edge:1 corner:-2 Type 3 : 3x3 with center:4 edge:-2 corner:1 Type 5 : 5x5 laplacian Type 7 : 7x7 laplacian Type 15 : 5x5 LoG (sigma approx 1.4) Type 19 : 9x9 LoG (sigma approx 1.4) </dd>
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| Image++.html | 493 deviation of the Laplacian, in pixels.</font></td>
508 deviation of the Laplacian, in pixels.</font></td>
546 parameter specifies the standard deviation of the Laplacian, in pixels.</font></td>
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| /external/ImageMagick/www/api/ |
| effect.php | 84 <dd>the standard deviation of the Laplacian, in pixels. </dd>
119 <dd>the standard deviation of the Laplacian, in pixels. </dd>
567 <dd>the standard deviation of the Laplacian, in pixels. </dd>
|
| effect.html | 88 <dd>the standard deviation of the Laplacian, in pixels. </dd>
123 <dd>the standard deviation of the Laplacian, in pixels. </dd>
606 <dd>the standard deviation of the Laplacian, in pixels. </dd>
|
| morphology.html | 146 <dd> LoG:{radius},{sigma} "Laplacian of a Gaussian" or "Mexician Hat" Kernel. The supposed ideal edge detection, zero-summing kernel. </dd>
172 <dd> Laplacian:{type} Discrete Lapacian Kernels, (without normalization) Type 0 : 3x3 with center:8 surounded by -1 (8 neighbourhood) Type 1 : 3x3 with center:4 edge:-1 corner:0 (4 neighbourhood) Type 2 : 3x3 with center:4 edge:1 corner:-2 Type 3 : 3x3 with center:4 edge:-2 corner:1 Type 5 : 5x5 laplacian Type 7 : 7x7 laplacian Type 15 : 5x5 LoG (sigma approx 1.4) Type 19 : 9x9 LoG (sigma approx 1.4) </dd>
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| morphology.php | 142 <dd> LoG:{radius},{sigma} "Laplacian of a Gaussian" or "Mexician Hat" Kernel. The supposed ideal edge detection, zero-summing kernel. </dd>
168 <dd> Laplacian:{type} Discrete Lapacian Kernels, (without normalization) Type 0 : 3x3 with center:8 surounded by -1 (8 neighbourhood) Type 1 : 3x3 with center:4 edge:-1 corner:0 (4 neighbourhood) Type 2 : 3x3 with center:4 edge:1 corner:-2 Type 3 : 3x3 with center:4 edge:-2 corner:1 Type 5 : 5x5 laplacian Type 7 : 7x7 laplacian Type 15 : 5x5 LoG (sigma approx 1.4) Type 19 : 9x9 LoG (sigma approx 1.4) </dd>
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| /external/libvpx/libvpx/vp9/encoder/ |
| vp9_rd.c | 321 // This table models the rate for a Laplacian source with given variance
339 // This table models the normalized distortion for a Laplacian source
402 // This function models the rate and distortion for a Laplacian
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| /external/opencv/cv/include/ |
| cv.h | 158 /* Calculates the image Laplacian: (d2/dx + d2/dy)I */
1081 int laplacian; member in struct:CvSURFPoint
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| cv.hpp | 280 /* Laplacian operator: (d2/dx + d2/dy)I. */
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| /external/ImageMagick/Magick++/lib/Magick++/ |
| Image.h | 543 // specifies the standard deviation of the Laplacian, in pixels.
655 // specifies the standard deviation of the Laplacian, in pixels.
686 // specifies the standard deviation of the Laplacian, in pixels.
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| /external/ImageMagick/tests/ |
| validate.h | 150 "+noise Laplacian",
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| /external/ImageMagick/www/source/ |
| examples.pl | 60 $example->AddNoise("Laplacian");
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| /external/ImageMagick/MagickCore/ |
| morphology.c | 603 % "Laplacian of a Gaussian" or "Mexician Hat" Kernel.
659 % Laplacian:{type}
665 % Type 5 : 5x5 laplacian
666 % Type 7 : 7x7 laplacian
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| /external/ImageMagick/PerlMagick/demo/ |
| demo.pl | 60 $example->AddNoise("Laplacian");
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| /external/ImageMagick/www/Magick++/ |
| STL.html | 466 the Laplacian, in pixels.</font></td>
486 specifies the standard deviation of the Laplacian, in pixels.</font></td>
615 standard deviation of the Laplacian, in pixels.</font></td>
[all...] |
| Image++.html | 459 deviation of the Laplacian, in pixels.</font></td>
474 deviation of the Laplacian, in pixels.</font></td>
512 parameter specifies the standard deviation of the Laplacian, in pixels.</font></td>
693 parameter specifies the standard deviation of the Laplacian, in pixels.</font></td>
[all...] |
| Image.html | 459 deviation of the Laplacian, in pixels.</font></td>
474 deviation of the Laplacian, in pixels.</font></td>
512 parameter specifies the standard deviation of the Laplacian, in pixels.</font></td>
693 parameter specifies the standard deviation of the Laplacian, in pixels.</font></td>
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| /external/eigen/doc/ |
| TutorialSparse.dox | 87 Such problem can be mathematically expressed as a linear problem of the form \f$ Ax=b \f$ where \f$ x \f$ is the vector of \c m unknowns (in our case, the values of the pixels), \f$ b \f$ is the right hand side vector resulting from the boundary conditions, and \f$ A \f$ is an \f$ m \times m \f$ matrix containing only a few non-zero elements resulting from the discretization of the Laplacian operator.
|
