类的使用
net.semanticmetadata.lire.imageanalysis.features.local.sift.FloatArray2D

使用FloatArray2D的程序包

程序包	说明
net.semanticmetadata.lire.imageanalysis.features.local.sift

net.semanticmetadata.lire.imageanalysis.features.local.sift中FloatArray2D的使用

返回FloatArray2D的net.semanticmetadata.lire.imageanalysis.features.local.sift中的方法

限定符和类型	方法和说明
FloatArray2D	FloatArray2D.clone()
static FloatArray2D	Filter.computeGaussian(FloatArray2D input, float sigma)
static FloatArray2D	Filter.computeGaussianFastMirror(FloatArray2D input, float sigma)
static FloatArray2D	Filter.computeIncreasingGaussianX(FloatArray2D input, float stDevStart, float stDevEnd)
static FloatArray2D	Filter.computeLaPlaceFilter3(FloatArray2D input)
static FloatArray2D	Filter.computeLaPlaceFilter5(FloatArray2D input)
static FloatArray2D	Filter.convolveSeparable(FloatArray2D input, float[] h, float[] v) convolve an image with a horizontal and a vertical kernel simple straightforward, not optimized---replace this with a trusted better version soon
static FloatArray2D	Filter.create_gaussian_kernel_2D_offset(float sigma, float offset_x, float offset_y, boolean normalize)
static FloatArray2D	Filter.createGaussianKernel2D(float sigma, boolean normalize)
static FloatArray2D[]	Filter.createGradients(FloatArray2D array)
static FloatArray2D	Filter.distortSamplingX(FloatArray2D input)
static FloatArray2D	Filter.distortSamplingY(FloatArray2D input)
FloatArray2D[]	FloatArray2DScaleOctave.getD()
FloatArray2D	FloatArray2DScaleOctave.getD(int i)
FloatArray2D[]	FloatArray2DScaleOctave.getL()
FloatArray2D	FloatArray2DScaleOctave.getL(int i)
FloatArray2D[]	FloatArray2DScaleOctave.getL1(int i) get the gradients of the corresponding gaussian image, generates it on demand, if not yet available.
static FloatArray2D	ImageArrayConverter.ImageToFloatArray2D(java.awt.image.BufferedImage ip)

参数类型为FloatArray2D的net.semanticmetadata.lire.imageanalysis.features.local.sift中的方法

限定符和类型	方法和说明
static FloatArray2D	Filter.computeGaussian(FloatArray2D input, float sigma)
static FloatArray2D	Filter.computeGaussianFastMirror(FloatArray2D input, float sigma)
static FloatArray2D	Filter.computeIncreasingGaussianX(FloatArray2D input, float stDevStart, float stDevEnd)
static FloatArray2D	Filter.computeLaPlaceFilter3(FloatArray2D input)
static FloatArray2D	Filter.computeLaPlaceFilter5(FloatArray2D input)
static FloatArray2D	Filter.convolveSeparable(FloatArray2D input, float[] h, float[] v) convolve an image with a horizontal and a vertical kernel simple straightforward, not optimized---replace this with a trusted better version soon
static FloatArray2D[]	Filter.createGradients(FloatArray2D array)
static FloatArray2D	Filter.distortSamplingX(FloatArray2D input)
static FloatArray2D	Filter.distortSamplingY(FloatArray2D input)
static void	FloatArray2DScaleOctave.downsample(FloatArray2D src, FloatArray2D dst) downsample src by simply using every second pixel into dst For efficiency reasons, the dimensions of dst are not checked, that is, you have to take care, that dst.width == src.width / 2 + src.width % 2 && dst.height == src.height / 2 + src.height % 2 .
static void	Filter.enhance(FloatArray2D src, float scale) in place enhance all values of a FloatArray to fill the given range
void	FloatArray2DSIFT.init(FloatArray2D src, int steps, float initial_sigma, int min_size, int max_size) initialize the scale space as a scale pyramid having octave stubs only
static void	FloatArray2DScaleOctave.upsample(FloatArray2D src, FloatArray2D dst) upsample src by linearly interpolating into dst For efficiency reasons, the dimensions of dst are not checked, that is, you have to take care, that src.width == dst.width / 2 + dst.width % 2 && src.height == dst.height / 2 + dst.height % 2 .

参数类型为FloatArray2D的net.semanticmetadata.lire.imageanalysis.features.local.sift中的构造器

构造器和说明
FloatArray2DScaleOctave(FloatArray2D img, float[] sigma, float[] sigma_diff, float[][] kernel_diff) Constructor faster initialisation with precomputed gaussian kernels
FloatArray2DScaleOctave(FloatArray2D img, int steps, float initial_sigma) Constructor