Searched refs:sigma (Results 76 - 100 of 150) sorted by relevance

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/external/eigen/test/
H A Dsvd_common.h40 MatrixType sigma = MatrixType::Zero(rows,cols); local
41 sigma.diagonal() = svd.singularValues().template cast<Scalar>();
47 VERIFY(sigma.cwiseAbs().maxCoeff() <= (std::numeric_limits<RealScalar>::min)());
51 VERIFY_IS_APPROX(m/scaling, u * (sigma/scaling) * v.adjoint());
/external/skia/tools/
H A Dsk_tool_utils.h134 SkBitmap slow_blur(const SkBitmap& src, float sigma);
/external/ImageMagick/MagickWand/
H A Dmagick-image.c172 % deviation (sigma). For reasonable results, radius should be larger than
173 % sigma. Use a radius of 0 and MagickAdaptiveBlurImage() selects a
179 % const double radius,const double sigma)
188 % o sigma: the standard deviation of the Gaussian, in pixels.
192 const double radius,const double sigma)
203 sharp_image=AdaptiveBlurImage(wand->images,radius,sigma,wand->exception);
271 % deviation (sigma). For reasonable results, radius should be larger than
272 % sigma. Use a radius of 0 and MagickAdaptiveSharpenImage() selects a
278 % const double radius,const double sigma)
287 % o sigma
186 MagickAdaptiveBlurImage(MagickWand *wand, const double radius,const double sigma) argument
283 MagickAdaptiveSharpenImage(MagickWand *wand, const double radius,const double sigma) argument
962 MagickBlurImage(MagickWand *wand, const double radius,const double sigma) argument
1172 MagickCharcoalImage(MagickWand *wand, const double radius,const double sigma) argument
2834 MagickEmbossImage(MagickWand *wand, const double radius,const double sigma) argument
3612 MagickGaussianBlurImage(MagickWand *wand, const double radius,const double sigma) argument
7038 MagickMotionBlurImage(MagickWand *wand, const double radius,const double sigma,const double angle) argument
7282 MagickOilPaintImage(MagickWand *wand, const double radius,const double sigma) argument
8834 MagickSelectiveBlurImage(MagickWand *wand, const double radius,const double sigma,const double threshold) argument
10754 MagickShadowImage(MagickWand *wand, const double alpha,const double sigma,const ssize_t x,const ssize_t y) argument
10804 MagickSharpenImage(MagickWand *wand, const double radius,const double sigma) argument
11085 MagickSketchImage(MagickWand *wand, const double radius,const double sigma,const double angle) argument
12157 MagickUnsharpMaskImage(MagickWand *wand, const double radius,const double sigma,const double gain, const double threshold) argument
12208 MagickVignetteImage(MagickWand *wand, const double radius,const double sigma,const ssize_t x,const ssize_t y) argument
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/external/ImageMagick/www/api/
H A Dmorphology.php136 <dd> Gaussian:{radius},{sigma} Generate a two-dimensional gaussian kernel, as used by -gaussian. The sigma for the curve is required. The resulting kernel is normalized, </dd>
138 <dd> If 'sigma' is zero, you get a single pixel on a field of zeros. </dd>
140 <dd> NOTE: that the 'radius' is optional, but if provided can limit (clip) the final size of the resulting kernel to a square 2*radius+1 in size. The radius should be at least 2 times that of the sigma value, or sever clipping and aliasing may result. If not given or set to 0 the radius will be determined so as to produce the best minimal error result, which is usally much larger than is normally needed. </dd>
142 <dd> LoG:{radius},{sigma} "Laplacian of a Gaussian" or "Mexician Hat" Kernel. The supposed ideal edge detection, zero-summing kernel. </dd>
144 <dd> An alturnative to this kernel is to use a "DoG" with a sigma ratio of approx 1.6 (according to wikipedia). </dd>
148 <dd> Blur:{radius},{sigma}[,{angle}] Generates a 1 dimensional or linear gaussian blur, at the angle given (current restricted to orthogonal angles). If a 'radius' is given the kernel is clipped to a width of 2*radius+1. Kernel can be rotated by a 90 degree angle. </dd>
150 <dd> If 'sigma' is zero, you get a single pixel on a field of zeros. </dd>
152 <dd> Note that two convolutions with two "Blur" kernels perpendicular to each other, is equivalent to a far larger "Gaussian" kernel with the same sigma value, However it is much faster to apply. This is how the "-blur" operator actually works. </dd>
154 <dd> Comet:{width},{sigma},{angl
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H A Dmagick-image.php81 <p>MagickAdaptiveBlurImage() adaptively blurs the image by blurring less intensely near image edges and more intensely far from edges. We blur the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, radius should be larger than sigma. Use a radius of 0 and MagickAdaptiveBlurImage() selects a suitable radius for you.</p>
87 const double radius,const double sigma)
105 <dt>sigma</dt>
138 <p>MagickAdaptiveSharpenImage() adaptively sharpens the image by sharpening more intensely near image edges and less intensely far from edges. We sharpen the image with a Gaussian operator of the given radius and standard deviation (sigma). For reasonable results, radius should be larger than sigma. Use a radius of 0 and MagickAdaptiveSharpenImage() selects a suitable radius for you.</p>
144 const double radius,const double sigma)
162 <dt>sigma</dt>
515 <p>MagickBlurImage() blurs an image. We convolve the image with a gaussian operator of the given radius and standard deviation (sigma). For reasonable results, the radius should be larger than sigma
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H A Dpaint.php112 const double sigma,ExceptionInfo *exception)
130 <dt>sigma</dt>
/external/boringssl/src/crypto/chacha/asm/
H A Dchacha-armv4.pl226 ldmia r14,{r0-r3} @ load sigma
228 stmdb sp!,{r0-r3} @ copy sigma
674 ldmia r14,{r0-r3} @ load sigma
675 vld1.32 {$a0},[r14]! @ load sigma
678 vst1.32 {$a0-$b0},[sp] @ copy sigma|1/2key
/external/guice/extensions/assistedinject/test/com/google/inject/assistedinject/
H A DFactoryProvider2Test.java1075 private final double sigma; field in class:FactoryProvider2Test.Equals.Impl
1079 public Impl(double sigma, @Assisted ComparisonMethod comparisonMethod) { argument
1080 this.sigma = sigma;
1098 assertEquals(0.01d, shallowEquals.sigma);
/external/ImageMagick/Magick++/lib/
H A DGeometry.cpp533 _y=geometry_info.sigma;
639 _y=geometry_info.sigma;
/external/ImageMagick/coders/
H A Dyuv.c167 vertical_factor=(ssize_t) geometry_info.sigma;
616 vertical_factor=(ssize_t) geometry_info.sigma;
H A Djbig.c540 y_resolution=geometry_info.sigma;
H A Dxps.c194 image->resolution.y=geometry_info.sigma;
H A Djpeg.c1145 geometry_info.sigma=geometry_info.rho;
1152 if ((geometry_info.sigma != 0.0) &&
1153 (scale_factor > (jpeg_info.output_height/geometry_info.sigma)))
1154 scale_factor=jpeg_info.output_height/geometry_info.sigma;
2436 (geometry_info.sigma+0.5));
2497 geometry_info.sigma=geometry_info.rho;
2499 jpeg_info.comp_info[i].v_samp_factor=(int) geometry_info.sigma;
H A Dps.c562 image->resolution.y=geometry_info.sigma;
570 image->resolution.y=geometry_info.sigma;
1578 resolution.y=geometry_info.sigma;
1586 resolution.y=geometry_info.sigma;
H A Dps2.c508 resolution.y=geometry_info.sigma;
516 resolution.y=geometry_info.sigma;
H A Ddpx.c1516 vertical_factor=(ssize_t) geometry_info.sigma;
1764 geometry_info.sigma=geometry_info.rho;
1766 dpx.orientation.border[1]=(unsigned short) (geometry_info.sigma+0.5);
1779 geometry_info.sigma=geometry_info.rho;
1781 dpx.orientation.aspect_ratio[1]=(unsigned int) (geometry_info.sigma+0.5);
/external/opencv/cvaux/src/
H A Dcvlmeds.cpp491 double l1, l2, l3, d1, d2, sigma; local
504 sigma = (double) (2.5 * 1.4826 * (1 + 5. / (num - 7)) * sqrt( Mj ));
521 if( d1 * d1 + d2 * d2 <= sigma * sigma )
H A Dcvbgfg_acmmm2003.cpp281 double sigma = sqrt( sqsum/count - my*my); local
282 // fprintf(stderr, "Iter %d sum=%g sqsum=%g count=%d sigma = %g\n", thres, sum, sqsum, count, sigma);
284 relativeVariance[thres] = sigma;
/external/opencv/cv/src/
H A Dcvsurf.cpp314 const double sigma = 3.3; local
315 double c2 = 1./(sigma*sigma*2), gs = 0;
H A Dcvfundam.cpp272 double minMedian = DBL_MAX, sigma; local
334 sigma = 2.5*1.4826*(1 + 5./(count - modelPoints))*sqrt(minMedian);
335 sigma = MAX( sigma, FLT_EPSILON*100 );
337 count = findInliers( m1, m2, model, err, mask, sigma );
/external/ImageMagick/MagickCore/
H A Dcomposite.c806 Gather the maximum blur sigma values from user.
821 Users input sigma now needs to be converted to the EWA ellipse size.
822 The filter defaults to a sigma of 0.5 so to make this match the
827 height=geometry_info.sigma*2.0;
993 vertical_scale=geometry_info.sigma;
1134 canvas_dissolve=geometry_info.sigma/100.0;
1149 canvas_dissolve=geometry_info.sigma/100.0;
1180 percent_chroma=geometry_info.sigma;
1194 threshold=geometry_info.sigma;
2040 A = a->rho, B = a->sigma,
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H A Daccelerate.c257 const double sigma,cl_uint *width,ExceptionInfo *exception)
278 "blur:%.20gx%.20g;blur:%.20gx%.20g+90",radius,sigma,radius,sigma);
592 const double radius,const double sigma,ExceptionInfo *exception)
655 imageKernelBuffer=createKernelInfo(device,radius,sigma,&kernelWidth,
759 const double radius,const double sigma,ExceptionInfo *exception)
777 filteredImage=ComputeBlurImage(image,clEnv,radius,sigma,exception);
4752 const double radius,const double sigma,const double gain,
4822 imageKernelBuffer=createKernelInfo(device,radius,sigma,&kernelWidth,
4935 MagickCLEnv clEnv,const double radius,const double sigma,cons
256 createKernelInfo(MagickCLDevice device,const double radius, const double sigma,cl_uint *width,ExceptionInfo *exception) argument
591 ComputeBlurImage(const Image* image,MagickCLEnv clEnv, const double radius,const double sigma,ExceptionInfo *exception) argument
758 AccelerateBlurImage(const Image *image, const double radius,const double sigma,ExceptionInfo *exception) argument
4751 ComputeUnsharpMaskImage(const Image *image,MagickCLEnv clEnv, const double radius,const double sigma,const double gain, const double threshold,ExceptionInfo *exception) argument
4934 ComputeUnsharpMaskImageSingle(const Image *image, MagickCLEnv clEnv,const double radius,const double sigma,const double gain, const double threshold,ExceptionInfo *exception) argument
5054 AccelerateUnsharpMaskImage(const Image *image, const double radius,const double sigma,const double gain, const double threshold,ExceptionInfo *exception) argument
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H A Dfx.c587 % const double sigma,ExceptionInfo *exception)
595 % o sigma: the standard deviation of the Gaussian, in pixels.
601 const double sigma,ExceptionInfo *exception)
621 charcoal_image=BlurImage(edge_image,radius,sigma,exception);
729 blend_percentage.green=geometry_info.sigma;
1549 return(channel_info.sigma);
1584 return(channel_info.sigma);
4313 % const double sigma,const ssize_t x_offset,const ssize_t y_offset,
4322 % o sigma: the standard deviation of the Gaussian, in pixels.
4332 const double sigma,cons
600 CharcoalImage(const Image *image,const double radius, const double sigma,ExceptionInfo *exception) argument
4331 ShadowImage(const Image *image,const double alpha, const double sigma,const ssize_t x_offset,const ssize_t y_offset, ExceptionInfo *exception) argument
4480 SketchImage(const Image *image,const double radius, const double sigma,const double angle,ExceptionInfo *exception) argument
5518 VignetteImage(const Image *image,const double radius, const double sigma,const ssize_t x,const ssize_t y,ExceptionInfo *exception) argument
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H A Dimage.c263 image->resolution.y=geometry_info.sigma;
312 image->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
317 image->ticks_per_second=(ssize_t) floor(geometry_info.sigma+0.5);
3728 image->chromaticity.blue_primary.y=geometry_info.sigma;
3758 image->resolution.y=geometry_info.sigma;
3785 image->chromaticity.green_primary.y=geometry_info.sigma;
3830 image->chromaticity.red_primary.y=geometry_info.sigma;
3906 image->chromaticity.white_point.y=geometry_info.sigma;
H A Dpaint.c641 % const double sigma,ExceptionInfo *exception)
649 % o sigma: the standard deviation of the Gaussian, in pixels.
692 const double sigma,ExceptionInfo *exception)
728 width=GetOptimalKernelWidth2D(radius,sigma);
687 OilPaintImage(const Image *image,const double radius, const double sigma,ExceptionInfo *exception) argument

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