| /external/opencv3/doc/tutorials/imgproc/morph_lines_detection/ |
| moprh_lines_detection.md | 20 Morphology is a set of image processing operations that process images based on predefined *structuring elements* known also as kernels. The value of each pixel in the output image is based on a comparison of the corresponding pixel in the input image with its neighbors. By choosing the size and shape of the kernel, you can construct a morphological operation that is sensitive to specific shapes regarding the input image.
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| /external/opencv3/modules/flann/include/opencv2/flann/ |
| kmeans_index.h | 488 * Find set of nearest neighbors to vec. Their indices are stored inside
492 * result = the result object in which the indices of the nearest-neighbors are stored
493 * vec = the vector for which to search the nearest neighbors
885 * result = container for the k-nearest neighbors found
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| kdtree_index.h | 191 * Find set of nearest neighbors to vec. Their indices are stored inside
195 * result = the result object in which the indices of the nearest-neighbors are stored
196 * vec = the vector for which to search the nearest neighbors
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| /external/webrtc/webrtc/modules/desktop_capture/win/ |
| cursor.cc | 62 // Change to white pixel if any neighbors (top, bottom, left, right)
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| /packages/apps/Gallery2/src/com/android/gallery3d/ui/ |
| PhotoView.java | [all...] |
| /development/perftests/panorama/feature_mos/src/mosaic/ |
| Blend.cpp | 841 // project point and then triangulate to neighbors
851 // scan the neighbors to see if this is a valid position
925 // project point and then triangulate to neighbors
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| /external/freetype/include/freetype/internal/ |
| ftcalc.h | 329 * saying that the corner point is close to its neighbors, or inside an
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| /external/libavc/encoder/ |
| ih264e_globals.c | 188 * tion from neighbors.
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| /external/libgdx/extensions/gdx-freetype/jni/freetype-2.6.2/include/freetype/internal/ |
| ftcalc.h | 329 * saying that the corner point is close to its neighbors, or inside an
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| /external/opencv/cv/include/ |
| cvtypes.h | 378 int neighbors; member in struct:CvAvgComp
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| /external/opencv3/doc/py_tutorials/py_feature2d/py_matcher/ |
| py_matcher.markdown | 141 FLANN stands for Fast Library for Approximate Nearest Neighbors. It contains a collection of
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| /external/opencv3/modules/cudaobjdetect/include/opencv2/ |
| cudaobjdetect.hpp | 230 //! Parameter specifying how many neighbors each candidate rectangle should have
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| /external/opencv3/samples/cpp/ |
| points_classifier.cpp | 32 #define _KNN_ 1 // k nearest neighbors classifier
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| /external/pdfium/third_party/freetype/include/freetype/internal/ |
| ftcalc.h | 329 * saying that the corner point is close to its neighbors, or inside an
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| /external/skia/src/core/ |
| SkBitmapHeap.h | 262 * recent. Points the LookupEntry's old neighbors at each other, and sets fLeastRecentlyUsed
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| /hardware/intel/common/omx-components/videocodec/libvpx_internal/libvpx/vp9/encoder/ |
| vp9_tokenize.c | 246 nb = so->neighbors;
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| /packages/apps/LegacyCamera/jni/feature_mos/src/mosaic/ |
| Blend.cpp | 839 // project point and then triangulate to neighbors
849 // scan the neighbors to see if this is a valid position
923 // project point and then triangulate to neighbors
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| /external/ImageMagick/ImageMagick/api/ |
| effect.html | 195 <p>DespeckleImage() reduces the speckle noise in an image while perserving the edges of the original image. A speckle removing filter uses a complementary hulling technique (raising pixels that are darker than their surrounding neighbors, then complementarily lowering pixels that are brighter than their surrounding neighbors) to reduce the speckle index of that image (reference Crimmins speckle removal).</p>
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| /external/ImageMagick/www/api/ |
| effect.php | 195 <p>DespeckleImage() reduces the speckle noise in an image while perserving the edges of the original image. A speckle removing filter uses a complementary hulling technique (raising pixels that are darker than their surrounding neighbors, then complementarily lowering pixels that are brighter than their surrounding neighbors) to reduce the speckle index of that image (reference Crimmins speckle removal).</p>
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| /external/opencv3/modules/ml/include/opencv2/ |
| ml.hpp | 393 /** @brief The class implements K-Nearest Neighbors model
401 /** Default number of neighbors to use in predict method. */
425 /** @brief Finds the neighbors and predicts responses for input vectors.
429 @param k Number of used nearest neighbors. Should be greater than 1.
432 @param neighborResponses Optional output values for corresponding neighbors. It is a single-
434 @param dist Optional output distances from the input vectors to the corresponding neighbors. It
437 For each input vector (a row of the matrix samples), the method finds the k nearest neighbors.
441 For each input vector, the neighbors are sorted by their distances to the vector.
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| /external/opencv3/modules/objdetect/include/opencv2/ |
| objdetect.hpp | 253 @param minNeighbors Parameter specifying how many neighbors each candidate rectangle should have
281 @param minNeighbors Parameter specifying how many neighbors each candidate rectangle should have
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| /packages/apps/Settings/src/com/android/settings/widget/ |
| ChartSweepView.java | 161 public void setNeighbors(ChartSweepView... neighbors) {
162 mNeighbors = neighbors;
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| /external/libvorbis/lib/ |
| floor1.c | 212 course, the neighbors can change (if a position is declined), but
246 /* discover our neighbors for decode where we don't use fit flags
247 (that would push the neighbors outward) */
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| /external/opencv/ml/include/ |
| ml.h | 274 // k Nearest Neighbors
290 const float** neighbors=0, CvMat* neighbor_responses=0, CvMat* dist=0 ) const;
305 float* neighbor_responses, const float** neighbors, float* dist ) const;
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| /external/llvm/include/llvm/CodeGen/ |
| MachineInstrBuilder.h | 475 // MI was inserted in the middle of the bundle, so its neighbors' flags are
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