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Packages that use ImageDouble | |
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net.grelf.grip | This package contains the Java classes which are specific to the image processing application GRIP. GRIP is available as a free download from www.grelf.net - please always quote this URL in connection with GRIP. Version: 11.11.21 |
Uses of ImageDouble in net.grelf.grip |
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Subclasses of ImageDouble in net.grelf.grip | |
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class |
AccumulatorDouble
This is a 64-bits-per-channel floating point Accumulator. |
Methods in net.grelf.grip that return ImageDouble | |
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static ImageDouble |
Convolutions.blurGaussian(ImageDouble srcAccum,
int nx,
int ny)
Do Gaussian blurring of the given image with 1D profiles of width nx (horizontal) and ny (vertical) and return the quite separate resulting new image. |
ImageDouble |
ImageInt.convertToAccumulatorDouble()
Convert to an AccumulatorDouble containing the same values. |
static ImageDouble |
Convolutions.convolve(ImageDouble srcAccum)
Convolve the given image with the current kernel and return the quite separate resulting new image. |
static ImageDouble |
Convolutions.convolve1D(ImageDouble srcAccum,
double[] horz,
double[] vert)
Convolve the given image with the given 1D arrays (horizontal and vertical - may be different) and return the quite separate resulting new image. |
static ImageDouble |
Convolutions.deconvolve(ImageDouble originalAccum,
ImageDouble srcAccum,
int passNo)
Deconvolve the image with the current kernel, using van Cittert's method. |
Methods in net.grelf.grip with parameters of type ImageDouble | |
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void |
ImageDouble.add(ImageDouble other)
Add pixel values from another Image into the data array. |
void |
ImageDouble.add(ImageDouble other,
double f1,
double f2)
Add pixel values from another Image into the data array, taking fraction f1 of the values in the current Image and f2 of those in the other. |
static ImageDouble |
Convolutions.blurGaussian(ImageDouble srcAccum,
int nx,
int ny)
Do Gaussian blurring of the given image with 1D profiles of width nx (horizontal) and ny (vertical) and return the quite separate resulting new image. |
static ImageDouble |
Convolutions.convolve(ImageDouble srcAccum)
Convolve the given image with the current kernel and return the quite separate resulting new image. |
static ImageDouble |
Convolutions.convolve1D(ImageDouble srcAccum,
double[] horz,
double[] vert)
Convolve the given image with the given 1D arrays (horizontal and vertical - may be different) and return the quite separate resulting new image. |
static ImageDouble |
Convolutions.deconvolve(ImageDouble originalAccum,
ImageDouble srcAccum,
int passNo)
Deconvolve the image with the current kernel, using van Cittert's method. |
void |
ImageDouble.multiply(ImageDouble other)
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void |
ImageDouble.multiply(ImageDouble other,
double f1,
double f2)
Multiply fraction f1 of this accumulator by f2 of the other. |
static byte[][] |
StarSegmenter.segment(ImageDouble accum,
int difference,
int radius)
Segment the image to detect pixels in stars using the given parameters. |
void |
ImageDouble.subtract(ImageDouble other)
Subtract other from this, pixel by pixel, the result being about the half-way brightness level so that both negative and positive results can be seen. |
void |
ImageDouble.subtractToZero(ImageDouble other)
Subtract other from this, pixel by pixel, negative results being cut off at zero. |
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