| /frameworks/base/media/mca/filterpacks/java/android/filterpacks/imageproc/ |
| RedEyeFilter.java | 65 "uniform float intensity;\n" +
73 " if (red_intensity > intensity) {\n" +
101 mProgram.setHostValue("intensity", DEFAULT_RED_INTENSITY);
|
| /external/opencv3/doc/py_tutorials/py_imgproc/py_histograms/py_histogram_begins/ |
| py_histogram_begins.markdown | 16 idea about the intensity distribution of an image. It is a plot with pixel values (ranging from 0 to
20 intuition about contrast, brightness, intensity distribution etc of that image. Almost all image
53 data regarding only one thing, intensity value. So here it is 1.
55 **RANGE** : It is the range of intensity values you want to measure. Normally, it is [0,256], ie all
56 intensity values.
|
| /frameworks/native/opengl/tests/gl2_yuvtex/ |
| gl2_yuvtex.cpp | 213 unsigned char intensity = (parityX ^ parityY) ? 63 : 191; local
214 buf[yuvTexOffsetY + (y * yuvTexStrideY) + x] = intensity;
216 buf[yuvTexOffsetU + (y * yuvTexStrideU) + x] = intensity;
218 buf[yuvTexOffsetV + (y * yuvTexStrideV) + x] = intensity;
223 buf[yuvTexOffsetV + ((y*2+1) * yuvTexStrideV) + x*2 + 1] = intensity;
|
| /hardware/qcom/display/msm8084/liboverlay/ |
| overlayMdp.cpp | 261 if (mParams.params.pa_params.intensity != data.hsicData.intensity) {
263 "Intensity has changed from %d to %d",
264 mParams.params.pa_params.intensity,
265 data.hsicData.intensity);
281 mParams.params.pa_params.intensity = data.hsicData.intensity;
|
| /hardware/qcom/display/msm8909/liboverlay/ |
| overlayMdp.cpp | 247 if (mParams.params.pa_params.intensity != data.hsicData.intensity) {
249 "Intensity has changed from %d to %d",
250 mParams.params.pa_params.intensity,
251 data.hsicData.intensity);
267 mParams.params.pa_params.intensity = data.hsicData.intensity;
|
| /hardware/qcom/display/msm8994/liboverlay/ |
| overlayMdp.cpp | 249 if (mParams.params.pa_params.intensity != data.hsicData.intensity) {
251 "Intensity has changed from %d to %d",
252 mParams.params.pa_params.intensity,
253 data.hsicData.intensity);
269 mParams.params.pa_params.intensity = data.hsicData.intensity;
|
| /external/ImageMagick/MagickCore/ |
| xwindow-private.h | 584 intensity; local
588 intensity=0.212656*pixel->red+0.715158*pixel->green+0.072186*pixel->blue;
589 return(intensity);
|
| enhance.c | 826 % ContrastImage() enhances the intensity differences between the lighter and
1118 intensity; local
1582 intensity; local
1599 intensity; local
2025 intensity; local
2838 intensity; local
3011 intensity, local
[all...] |
| gem.c | 378 % ConvertHSIToRGB() transforms a (hue, saturation, intensity) to a (red,
384 % const double intensity,double *red,double *green,double *blue)
388 % o hue, saturation, intensity: A double value representing a
395 const double intensity,double *red,double *green,double *blue)
413 b=intensity*(1.0-saturation);
414 r=intensity*(1.0+saturation*cos(h*(MagickPI/180.0))/cos((60.0-h)*
416 g=3.0*intensity-r-b;
422 r=intensity*(1.0-saturation);
423 g=intensity*(1.0+saturation*cos(h*(MagickPI/180.0))/cos((60.0-h)*
425 b=3.0*intensity-r-g
[all...] |
| /external/opencv3/doc/py_tutorials/py_imgproc/py_watershed/ |
| py_watershed.markdown | 14 Any grayscale image can be viewed as a topographic surface where high intensity denotes peaks and
15 hills while low intensity denotes valleys. You start filling every isolated valleys (local minima)
28 the foreground or object with one color (or intensity), label the region which we are sure of being
|
| /external/opencv3/doc/tutorials/imgproc/imgtrans/sobel_derivatives/ |
| sobel_derivatives.markdown | 26 You can easily notice that in an *edge*, the pixel intensity *changes* in a notorious way. A
31 intensity in the plot below:
48 gradient of an image intensity function.
|
| /external/opencv3/samples/cpp/ |
| smiledetect.cpp | 122 cout << endl << "NOTE: Smile intensity will only be valid after a first smile has been detected" << endl;
235 // following steps use a floating minimum and maximum of neighbors. Intensity thus estimated will be
243 // Draw rectangle on the left side of the image reflecting smile intensity
|
| /external/libgdx/tests/gdx-tests-android/assets/data/g3d/shaders/ |
| lights.glsl | 160 float intensity;
|
| /external/opencv3/doc/tutorials/imgproc/histograms/histogram_calculation/ |
| histogram_calculation.markdown | 19 - When we say *data* we are not restricting it to be intensity values (as we saw in the previous
21 - Let's see an example. Imagine that a Matrix contains information of an image (i.e. intensity in
46 because we are only counting the intensity values of each pixel (in a greyscale image).
129 - **0**: The channel (*dim*) to be measured. In this case it is just the intensity (each
|
| /external/opencv3/modules/videostab/src/ |
| precomp.hpp | 62 inline float intensity(const cv::Point3_<uchar> &bgr) function
|
| /frameworks/base/libs/hwui/utils/ |
| Color.h | 59 // Array of bright (500 intensity) colors for synthetic content
|
| /hardware/intel/img/psb_video/src/ |
| vc1_header.h | 67 or the intensity compensation mode.
181 typedef struct { // Information about the intensity compensation history of previous pictures
188 /* Indication of what fields undergo intensity compensation */
269 /* Information about the intensity compensation history of previous pictures */
|
| /hardware/qcom/display/msm8084/libqdutils/ |
| qdMetaData.h | 48 int32_t intensity; member in struct:HSICData_t
|
| /hardware/qcom/display/msm8226/libqdutils/ |
| qdMetaData.h | 48 int32_t intensity; member in struct:HSICData_t
|
| /hardware/qcom/display/msm8909/libqdutils/ |
| qdMetaData.h | 48 int32_t intensity; member in struct:HSICData_t
|
| /hardware/qcom/display/msm8994/libqdutils/ |
| qdMetaData.h | 48 int32_t intensity; member in struct:HSICData_t
|
| /external/libgdx/gdx/src/com/badlogic/gdx/graphics/g3d/shaders/ |
| DefaultShader.java | 369 cacheAmbientCubemap.add(lights.get(i).color, lights.get(i).position, tmpV1, lights.get(i).intensity);
456 protected final int u_pointLights0intensity = register(new Uniform("u_pointLights[0].intensity"));
460 protected final int u_spotLights0intensity = register(new Uniform("u_spotLights[0].intensity"));
[all...] |
| /external/ImageMagick/coders/ |
| cut.c | 234 intensity,
244 intensity=0;
253 if (intensity < GetPixelRed(image,q))
254 intensity=GetPixelRed(image,q);
255 if (intensity >= scale_intensity)
260 if (intensity < ScaleCharToQuantum(2))
262 if (intensity < ScaleCharToQuantum(16))
264 return((int) intensity);
231 intensity, local
|
| /external/libgdx/gdx/src/com/badlogic/gdx/graphics/g3d/environment/ |
| AmbientCubemap.java | 134 public AmbientCubemap add (final Color color, final Vector3 point, final Vector3 target, final float intensity) {
135 final float t = intensity / (1f + target.dst(point));
|
| /external/opencv3/doc/py_tutorials/py_imgproc/py_canny/ |
| py_canny.markdown | 23 -# **Finding Intensity Gradient of the Image**
54 threshold values, minVal and maxVal. Any edges with intensity gradient more than maxVal are sure to
|
