| /external/opencv3/samples/cpp/ |
| npr_demo.cpp | 9 * -> Using Normalized convolution Filter
55 cout << " -> Using Normalized convolution Filter" << endl;
71 cout << "Press 1 for Normalized Convolution Filter and 2 for Recursive Filter: ";
|
| /external/opencv3/samples/cpp/tutorial_code/photo/non_photorealistic_rendering/ |
| npr_demo.cpp | 9 * -> Using Normalized convolution Filter
54 cout << " -> Using Normalized convolution Filter" << endl;
70 cout << "Press 1 for Normalized Convolution Filter and 2 for Recursive Filter: ";
|
| /external/skia/include/effects/ |
| SkMatrixConvolutionImageFilter.h | 17 Matrix convolution image filter. This filter applies an NxM image
34 /** Construct a matrix convolution image filter.
39 convolution. This can be used to normalize the
41 @param bias A bias factor added to each pixel after convolution.
43 convolution. This can be used to center the kernel
|
| /cts/suite/audio_quality/test_description/processing/ |
| calc_delay.py | 26 def convolution(data0, data1reversed, n): function
27 """calculate convolution part of data0 with data1 from pos n"""
33 return convolution(*args)
|
| /external/webrtc/webrtc/modules/audio_coding/codecs/ilbc/ |
| state_search.c | 50 /* Scale to maximum 12 bits to avoid saturation in circular convolution filter */
54 /* Set up the filter coefficients for the circular convolution */
65 /* Run the Zero-Pole filter (Ciurcular convolution) */
|
| /external/ImageMagick/MagickCore/ |
| morphology.h | 31 GaussianKernel, /* Convolution Kernels, Gaussian Based */
37 LaplacianKernel, /* Convolution Kernels, by Name */
|
| /external/skia/src/gpu/effects/ |
| GrConvolutionEffect.h | 15 * A convolution effect. The kernel is specified as an array of 2 * half-width
50 const char* name() const override { return "Convolution"; }
|
| /frameworks/av/media/libstagefright/codecs/amrnb/enc/src/ |
| convolve.h | 39 * Purpose : Perform the convolution between two vectors x[]
42 * : L samples of the convolution are computed.
|
| convolve.cpp | 46 Description: Optimized code by calculating two convolution sums per iteration
122 storing the convolution of x and h;
123 L = Length of the convolution; type definition is Word16
126 y buffer contains the new convolution output
140 Perform the convolution between two vectors x[] and h[] and write the result
142 of the convolution are computed.
144 The convolution is given by:
|
| /external/skia/src/core/ |
| SkBitmapScaler.h | 45 /** Platforms can also optionally overwrite the convolution functions
|
| SkConvolver.cpp | 188 // Does vertical convolution to produce one output row. The filter values and
200 // We go through each column in the output and do a vertical convolution,
359 // row for convolution as the first pixel for the first vertical filter.
365 // We loop over each row in the input doing a horizontal convolution. This
367 // a circular buffer of convolved rows and do vertical convolution as rows
370 // We will need four extra rows to allow horizontal convolution could be done
374 // convolution pass yet. Somehow Windows does not like it.
397 // convolutions to run each subsequent vertical convolution.
|
| SkConvolver.h | 23 // We do 2-dimensional convolution by first convolving each row by one
175 // Does a two-dimensional convolution on the given source image.
194 * Returns false if it was unable to perform the convolution/rescale. in which case the output
|
| /external/opencv3/doc/tutorials/imgproc/imgtrans/filter_2d/ |
| filter_2d.markdown | 16 ### Convolution
18 In a very general sense, convolution is an operation between every part of an image and an operator
28 ### How does convolution with a kernel work?
31 convolution is calculated in the following way:
169 -# *delta*: A value to be added to each pixel during the convolution. By default it is \f$0\f$
|
| /external/ImageMagick/ImageMagick/api/ |
| morphology.html | 59 <p>AcquireKernelInfo() takes the given string (generally supplied by the user) and converts it into a Morphology/Convolution Kernel. This allows users to specify a kernel from a number of pre-defined kernels, or to fully specify their own kernel for a specific Convolution or Morphology Operation.</p>
101 <dd>the Morphology/Convolution kernel wanted. </dd>
132 <dd> Convolution Kernels </dd>
162 <dd> Named Constant Convolution Kernels </dd>
170 <dd> Sobel:{angle} Sobel 'Edge' convolution kernel (3x3) | -1, 0, 1 | | -2, 0,-2 | | -1, 0, 1 | </dd>
172 <dd> Roberts:{angle} Roberts convolution kernel (3x3) | 0, 0, 0 | | -1, 1, 0 | | 0, 0, 0 | </dd>
174 <dd> Prewitt:{angle} Prewitt Edge convolution kernel (3x3) | -1, 0, 1 | | -1, 0, 1 | | -1, 0, 1 | </dd>
176 <dd> Compass:{angle} Prewitt's "Compass" convolution kernel (3x3) | -1, 1, 1 | | -1,-2, 1 | | -1, 1, 1 | </dd>
178 <dd> Kirsch:{angle} Kirsch's "Compass" convolution kernel (3x3) | -3,-3, 5 | | -3, 0, 5 | | -3,-3, 5 | </dd
[all...] |
| /external/ImageMagick/www/api/ |
| morphology.html | 63 <p>AcquireKernelInfo() takes the given string (generally supplied by the user) and converts it into a Morphology/Convolution Kernel. This allows users to specify a kernel from a number of pre-defined kernels, or to fully specify their own kernel for a specific Convolution or Morphology Operation.</p>
105 <dd>the Morphology/Convolution kernel wanted. </dd>
136 <dd> Convolution Kernels </dd>
166 <dd> Named Constant Convolution Kernels </dd>
174 <dd> Sobel:{angle} Sobel 'Edge' convolution kernel (3x3) | -1, 0, 1 | | -2, 0,-2 | | -1, 0, 1 | </dd>
176 <dd> Roberts:{angle} Roberts convolution kernel (3x3) | 0, 0, 0 | | -1, 1, 0 | | 0, 0, 0 | </dd>
178 <dd> Prewitt:{angle} Prewitt Edge convolution kernel (3x3) | -1, 0, 1 | | -1, 0, 1 | | -1, 0, 1 | </dd>
180 <dd> Compass:{angle} Prewitt's "Compass" convolution kernel (3x3) | -1, 1, 1 | | -1,-2, 1 | | -1, 1, 1 | </dd>
182 <dd> Kirsch:{angle} Kirsch's "Compass" convolution kernel (3x3) | -3,-3, 5 | | -3, 0, 5 | | -3,-3, 5 | </dd
[all...] |
| morphology.php | 59 <p>AcquireKernelInfo() takes the given string (generally supplied by the user) and converts it into a Morphology/Convolution Kernel. This allows users to specify a kernel from a number of pre-defined kernels, or to fully specify their own kernel for a specific Convolution or Morphology Operation.</p>
101 <dd>the Morphology/Convolution kernel wanted. </dd>
132 <dd> Convolution Kernels </dd>
162 <dd> Named Constant Convolution Kernels </dd>
170 <dd> Sobel:{angle} Sobel 'Edge' convolution kernel (3x3) | -1, 0, 1 | | -2, 0,-2 | | -1, 0, 1 | </dd>
172 <dd> Roberts:{angle} Roberts convolution kernel (3x3) | 0, 0, 0 | | -1, 1, 0 | | 0, 0, 0 | </dd>
174 <dd> Prewitt:{angle} Prewitt Edge convolution kernel (3x3) | -1, 0, 1 | | -1, 0, 1 | | -1, 0, 1 | </dd>
176 <dd> Compass:{angle} Prewitt's "Compass" convolution kernel (3x3) | -1, 1, 1 | | -1,-2, 1 | | -1, 1, 1 | </dd>
178 <dd> Kirsch:{angle} Kirsch's "Compass" convolution kernel (3x3) | -3,-3, 5 | | -3, 0, 5 | | -3,-3, 5 | </dd
[all...] |
| /external/mesa3d/docs/ |
| RELNOTES-6.2 | 22 ToDo: PBO for polygon stipple, convolution filter, etc.
|
| conform.html | 193 Convolution test passed.
194 Convolution Border test passed.
306 Convolution test passed.
307 Convolution Border test passed.
419 Convolution test passed.
420 Convolution Border test passed.
532 Convolution test passed.
533 Convolution Border test passed.
645 Convolution test passed.
646 Convolution Border test passed
[all...] |
| /external/opencv3/modules/features2d/src/kaze/ |
| nldiffusion_functions.h | 20 // Gaussian 2D convolution
|
| /external/opencv3/modules/cudaarithm/src/ |
| arithm.cpp | 57 Ptr<Convolution> cv::cuda::createConvolution(Size) { throw_no_cuda(); return Ptr<Convolution>(); }
398 // Convolution
404 class ConvolutionImpl : public Convolution
537 Ptr<Convolution> cv::cuda::createConvolution(Size user_block_size)
542 return Ptr<Convolution>();
|
| /external/opencv3/modules/cudaarithm/perf/ |
| perf_arithm.cpp | 235 cv::Ptr<cv::cuda::Convolution> convolution = cv::cuda::createConvolution(); local
239 TEST_CYCLE() convolution->convolve(d_image, d_templ, dst, ccorr);
|
| /external/opencv3/doc/tutorials/imgproc/imgtrans/copyMakeBorder/ |
| copyMakeBorder.markdown | 17 -# In our previous tutorial we learned to use convolution to operate on images. One problem that
22 below). This way, the convolution can be performed over the needed pixels without problems (the
|
| /external/llvm/test/Transforms/InstCombine/ |
| shufflemask-undef.ll | 13 %struct.Convolution = type { %struct.IColor4, %struct.ImagingColorScale, i16, i16, [0 x i32], float*, i32, i32 }
20 %struct.ImagingSubset = type { %struct.Convolution, %struct.Convolution, %struct.Convolution, %struct.ColorMatrix, %struct.Minmax, %struct.Histogram, %struct.ImagingColorScale, %struct.ImagingColorScale, %struct.ImagingColorScale, %struct.ImagingColorScale, i32, [0 x i32] }
|
| /external/mesa3d/src/mesa/main/ |
| convolve.c | 27 * Image convolution functions.
|
| /external/skia/src/effects/ |
| SkBlurMask.h | 38 // the "ground truth" blur does a gaussian convolution; it's slow
|
