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skimage.color.rgba2rgb(rgba, background=(1, 1, 1)) [source]
RGBA to RGB conversion using alpha blending [1]. Parameters
rgba(…, 4) array_like
The image in RGBA format. Final dimension denotes channels.
backgroundarray_like
The color of the background to blend the image with (3 floats between 0 to 1 - the RG... | skimage.api.skimage.color#skimage.color.rgba2rgb |
skimage.color.rgbcie2rgb(rgbcie) [source]
RGB CIE to RGB color space conversion. Parameters
rgbcie(…, 3) array_like
The image in RGB CIE format. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in RGB format. Same dimensions as input. Raises
ValueError
If rgbcie is not at leas... | skimage.api.skimage.color#skimage.color.rgbcie2rgb |
skimage.color.separate_stains(rgb, conv_matrix) [source]
RGB to stain color space conversion. Parameters
rgb(…, 3) array_like
The image in RGB format. Final dimension denotes channels. conv_matrix: ndarray
The stain separation matrix as described by G. Landini [1]. Returns
out(…, 3) ndarray
The image ... | skimage.api.skimage.color#skimage.color.separate_stains |
skimage.color.xyz2lab(xyz, illuminant='D65', observer='2') [source]
XYZ to CIE-LAB color space conversion. Parameters
xyz(…, 3) array_like
The image in XYZ format. Final dimension denotes channels.
illuminant{“A”, “D50”, “D55”, “D65”, “D75”, “E”}, optional
The name of the illuminant (the function is NOT cas... | skimage.api.skimage.color#skimage.color.xyz2lab |
skimage.color.xyz2rgb(xyz) [source]
XYZ to RGB color space conversion. Parameters
xyz(…, 3) array_like
The image in XYZ format. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in RGB format. Same dimensions as input. Raises
ValueError
If xyz is not at least 2-D with shape (…,... | skimage.api.skimage.color#skimage.color.xyz2rgb |
skimage.color.ycbcr2rgb(ycbcr) [source]
YCbCr to RGB color space conversion. Parameters
ycbcr(…, 3) array_like
The image in YCbCr format. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in RGB format. Same dimensions as input. Raises
ValueError
If ycbcr is not at least 2-D wi... | skimage.api.skimage.color#skimage.color.ycbcr2rgb |
skimage.color.ydbdr2rgb(ydbdr) [source]
YDbDr to RGB color space conversion. Parameters
ydbdr(…, 3) array_like
The image in YDbDr format. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in RGB format. Same dimensions as input. Raises
ValueError
If ydbdr is not at least 2-D wi... | skimage.api.skimage.color#skimage.color.ydbdr2rgb |
skimage.color.yiq2rgb(yiq) [source]
YIQ to RGB color space conversion. Parameters
yiq(…, 3) array_like
The image in YIQ format. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in RGB format. Same dimensions as input. Raises
ValueError
If yiq is not at least 2-D with shape (…,... | skimage.api.skimage.color#skimage.color.yiq2rgb |
skimage.color.ypbpr2rgb(ypbpr) [source]
YPbPr to RGB color space conversion. Parameters
ypbpr(…, 3) array_like
The image in YPbPr format. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in RGB format. Same dimensions as input. Raises
ValueError
If ypbpr is not at least 2-D wi... | skimage.api.skimage.color#skimage.color.ypbpr2rgb |
skimage.color.yuv2rgb(yuv) [source]
YUV to RGB color space conversion. Parameters
yuv(…, 3) array_like
The image in YUV format. Final dimension denotes channels. Returns
out(…, 3) ndarray
The image in RGB format. Same dimensions as input. Raises
ValueError
If yuv is not at least 2-D with shape (…,... | skimage.api.skimage.color#skimage.color.yuv2rgb |
Module: data Standard test images. For more images, see http://sipi.usc.edu/database/database.php
skimage.data.astronaut() Color image of the astronaut Eileen Collins.
skimage.data.binary_blobs([length, …]) Generate synthetic binary image with several rounded blob-like objects.
skimage.data.brain() Subset of da... | skimage.api.skimage.data |
skimage.data.astronaut() [source]
Color image of the astronaut Eileen Collins. Photograph of Eileen Collins, an American astronaut. She was selected as an astronaut in 1992 and first piloted the space shuttle STS-63 in 1995. She retired in 2006 after spending a total of 38 days, 8 hours and 10 minutes in outer space.... | skimage.api.skimage.data#skimage.data.astronaut |
skimage.data.binary_blobs(length=512, blob_size_fraction=0.1, n_dim=2, volume_fraction=0.5, seed=None) [source]
Generate synthetic binary image with several rounded blob-like objects. Parameters
lengthint, optional
Linear size of output image.
blob_size_fractionfloat, optional
Typical linear size of blob, a... | skimage.api.skimage.data#skimage.data.binary_blobs |
skimage.data.brain() [source]
Subset of data from the University of North Carolina Volume Rendering Test Data Set. The full dataset is available at [1]. Returns
image(10, 256, 256) uint16 ndarray
Notes The 3D volume consists of 10 layers from the larger volume. References
1
https://graphics.stanford.edu/d... | skimage.api.skimage.data#skimage.data.brain |
skimage.data.brick() [source]
Brick wall. Returns
brick(512, 512) uint8 image
A small section of a brick wall. Notes The original image was downloaded from CC0Textures and licensed under the Creative Commons CC0 License. A perspective transform was then applied to the image, prior to rotating it by 90 degre... | skimage.api.skimage.data#skimage.data.brick |
skimage.data.camera() [source]
Gray-level “camera” image. Can be used for segmentation and denoising examples. Returns
camera(512, 512) uint8 ndarray
Camera image. Notes No copyright restrictions. CC0 by the photographer (Lav Varshney). Changed in version 0.18: This image was replaced due to copyright rest... | skimage.api.skimage.data#skimage.data.camera |
skimage.data.cat() [source]
Chelsea the cat. An example with texture, prominent edges in horizontal and diagonal directions, as well as features of differing scales. Returns
chelsea(300, 451, 3) uint8 ndarray
Chelsea image. Notes No copyright restrictions. CC0 by the photographer (Stefan van der Walt). | skimage.api.skimage.data#skimage.data.cat |
skimage.data.cell() [source]
Cell floating in saline. This is a quantitative phase image retrieved from a digital hologram using the Python library qpformat. The image shows a cell with high phase value, above the background phase. Because of a banding pattern artifact in the background, this image is a good test of ... | skimage.api.skimage.data#skimage.data.cell |
skimage.data.cells3d() [source]
3D fluorescence microscopy image of cells. The returned data is a 3D multichannel array with dimensions provided in (z, c, y, x) order. Each voxel has a size of (0.29 0.26 0.26) micrometer. Channel 0 contains cell membranes, channel 1 contains nuclei. Returns
cells3d: (60, 2, 256, 2... | skimage.api.skimage.data#skimage.data.cells3d |
skimage.data.checkerboard() [source]
Checkerboard image. Checkerboards are often used in image calibration, since the corner-points are easy to locate. Because of the many parallel edges, they also visualise distortions particularly well. Returns
checkerboard(200, 200) uint8 ndarray
Checkerboard image. | skimage.api.skimage.data#skimage.data.checkerboard |
skimage.data.chelsea() [source]
Chelsea the cat. An example with texture, prominent edges in horizontal and diagonal directions, as well as features of differing scales. Returns
chelsea(300, 451, 3) uint8 ndarray
Chelsea image. Notes No copyright restrictions. CC0 by the photographer (Stefan van der Walt). | skimage.api.skimage.data#skimage.data.chelsea |
skimage.data.clock() [source]
Motion blurred clock. This photograph of a wall clock was taken while moving the camera in an aproximately horizontal direction. It may be used to illustrate inverse filters and deconvolution. Released into the public domain by the photographer (Stefan van der Walt). Returns
clock(30... | skimage.api.skimage.data#skimage.data.clock |
skimage.data.coffee() [source]
Coffee cup. This photograph is courtesy of Pikolo Espresso Bar. It contains several elliptical shapes as well as varying texture (smooth porcelain to course wood grain). Returns
coffee(400, 600, 3) uint8 ndarray
Coffee image. Notes No copyright restrictions. CC0 by the photogr... | skimage.api.skimage.data#skimage.data.coffee |
skimage.data.coins() [source]
Greek coins from Pompeii. This image shows several coins outlined against a gray background. It is especially useful in, e.g. segmentation tests, where individual objects need to be identified against a background. The background shares enough grey levels with the coins that a simple seg... | skimage.api.skimage.data#skimage.data.coins |
skimage.data.colorwheel() [source]
Color Wheel. Returns
colorwheel(370, 371, 3) uint8 image
A colorwheel. | skimage.api.skimage.data#skimage.data.colorwheel |
skimage.data.download_all(directory=None) [source]
Download all datasets for use with scikit-image offline. Scikit-image datasets are no longer shipped with the library by default. This allows us to use higher quality datasets, while keeping the library download size small. This function requires the installation of ... | skimage.api.skimage.data#skimage.data.download_all |
skimage.data.eagle() [source]
A golden eagle. Suitable for examples on segmentation, Hough transforms, and corner detection. Returns
eagle(2019, 1826) uint8 ndarray
Eagle image. Notes No copyright restrictions. CC0 by the photographer (Dayane Machado). | skimage.api.skimage.data#skimage.data.eagle |
skimage.data.grass() [source]
Grass. Returns
grass(512, 512) uint8 image
Some grass. Notes The original image was downloaded from DeviantArt and licensed underthe Creative Commons CC0 License. The downloaded image was cropped to include a region of (512, 512) pixels around the top left corner, converted to ... | skimage.api.skimage.data#skimage.data.grass |
skimage.data.gravel() [source]
Gravel Returns
gravel(512, 512) uint8 image
Grayscale gravel sample. Notes The original image was downloaded from CC0Textures and licensed under the Creative Commons CC0 License. The downloaded image was then rescaled to (1024, 1024), then the top left (512, 512) pixel region ... | skimage.api.skimage.data#skimage.data.gravel |
skimage.data.horse() [source]
Black and white silhouette of a horse. This image was downloaded from openclipart No copyright restrictions. CC0 given by owner (Andreas Preuss (marauder)). Returns
horse(328, 400) bool ndarray
Horse image. | skimage.api.skimage.data#skimage.data.horse |
skimage.data.hubble_deep_field() [source]
Hubble eXtreme Deep Field. This photograph contains the Hubble Telescope’s farthest ever view of the universe. It can be useful as an example for multi-scale detection. Returns
hubble_deep_field(872, 1000, 3) uint8 ndarray
Hubble deep field image. Notes This image w... | skimage.api.skimage.data#skimage.data.hubble_deep_field |
skimage.data.human_mitosis() [source]
Image of human cells undergoing mitosis. Returns
human_mitosis: (512, 512) uint8 ndimage
Data of human cells undergoing mitosis taken during the preperation of the manuscript in [1]. Notes Copyright David Root. Licensed under CC-0 [2]. References
1
Moffat J, Grueneber... | skimage.api.skimage.data#skimage.data.human_mitosis |
skimage.data.immunohistochemistry() [source]
Immunohistochemical (IHC) staining with hematoxylin counterstaining. This picture shows colonic glands where the IHC expression of FHL2 protein is revealed with DAB. Hematoxylin counterstaining is applied to enhance the negative parts of the tissue. This image was acquired... | skimage.api.skimage.data#skimage.data.immunohistochemistry |
skimage.data.kidney() [source]
Mouse kidney tissue. This biological tissue on a pre-prepared slide was imaged with confocal fluorescence microscopy (Nikon C1 inverted microscope). Image shape is (16, 512, 512, 3). That is 512x512 pixels in X-Y, 16 image slices in Z, and 3 color channels (emission wavelengths 450nm, 5... | skimage.api.skimage.data#skimage.data.kidney |
skimage.data.lbp_frontal_face_cascade_filename() [source]
Return the path to the XML file containing the weak classifier cascade. These classifiers were trained using LBP features. The file is part of the OpenCV repository [1]. References
1
OpenCV lbpcascade trained files https://github.com/opencv/opencv/tree/mas... | skimage.api.skimage.data#skimage.data.lbp_frontal_face_cascade_filename |
skimage.data.lfw_subset() [source]
Subset of data from the LFW dataset. This database is a subset of the LFW database containing: 100 faces 100 non-faces The full dataset is available at [2]. Returns
images(200, 25, 25) uint8 ndarray
100 first images are faces and subsequent 100 are non-faces. Notes The f... | skimage.api.skimage.data#skimage.data.lfw_subset |
skimage.data.lily() [source]
Lily of the valley plant stem. This plant stem on a pre-prepared slide was imaged with confocal fluorescence microscopy (Nikon C1 inverted microscope). Image shape is (922, 922, 4). That is 922x922 pixels in X-Y, with 4 color channels. Real-space voxel size is 1.24 microns in X-Y. Data ty... | skimage.api.skimage.data#skimage.data.lily |
skimage.data.logo() [source]
Scikit-image logo, a RGBA image. Returns
logo(500, 500, 4) uint8 ndarray
Logo image. | skimage.api.skimage.data#skimage.data.logo |
skimage.data.microaneurysms() [source]
Gray-level “microaneurysms” image. Detail from an image of the retina (green channel). The image is a crop of image 07_dr.JPG from the High-Resolution Fundus (HRF) Image Database: https://www5.cs.fau.de/research/data/fundus-images/ Returns
microaneurysms(102, 102) uint8 ndar... | skimage.api.skimage.data#skimage.data.microaneurysms |
skimage.data.moon() [source]
Surface of the moon. This low-contrast image of the surface of the moon is useful for illustrating histogram equalization and contrast stretching. Returns
moon(512, 512) uint8 ndarray
Moon image. | skimage.api.skimage.data#skimage.data.moon |
skimage.data.page() [source]
Scanned page. This image of printed text is useful for demonstrations requiring uneven background illumination. Returns
page(191, 384) uint8 ndarray
Page image. | skimage.api.skimage.data#skimage.data.page |
skimage.data.retina() [source]
Human retina. This image of a retina is useful for demonstrations requiring circular images. Returns
retina(1411, 1411, 3) uint8 ndarray
Retina image in RGB. Notes This image was downloaded from wikimedia. This file is made available under the Creative Commons CC0 1.0 Universa... | skimage.api.skimage.data#skimage.data.retina |
skimage.data.rocket() [source]
Launch photo of DSCOVR on Falcon 9 by SpaceX. This is the launch photo of Falcon 9 carrying DSCOVR lifted off from SpaceX’s Launch Complex 40 at Cape Canaveral Air Force Station, FL. Returns
rocket(427, 640, 3) uint8 ndarray
Rocket image. Notes This image was downloaded from S... | skimage.api.skimage.data#skimage.data.rocket |
skimage.data.shepp_logan_phantom() [source]
Shepp Logan Phantom. Returns
phantom(400, 400) float64 image
Image of the Shepp-Logan phantom in grayscale. References
1
L. A. Shepp and B. F. Logan, “The Fourier reconstruction of a head section,” in IEEE Transactions on Nuclear Science, vol. 21, no. 3, pp. 2... | skimage.api.skimage.data#skimage.data.shepp_logan_phantom |
skimage.data.skin() [source]
Microscopy image of dermis and epidermis (skin layers). Hematoxylin and eosin stained slide at 10x of normal epidermis and dermis with a benign intradermal nevus. Returns
skin(960, 1280, 3) RGB image of uint8
Notes This image requires an Internet connection the first time it is ca... | skimage.api.skimage.data#skimage.data.skin |
skimage.data.stereo_motorcycle() [source]
Rectified stereo image pair with ground-truth disparities. The two images are rectified such that every pixel in the left image has its corresponding pixel on the same scanline in the right image. That means that both images are warped such that they have the same orientation... | skimage.api.skimage.data#skimage.data.stereo_motorcycle |
skimage.data.text() [source]
Gray-level “text” image used for corner detection. Returns
text(172, 448) uint8 ndarray
Text image. Notes This image was downloaded from Wikipedia <https://en.wikipedia.org/wiki/File:Corner.png>`__. No known copyright restrictions, released into the public domain. | skimage.api.skimage.data#skimage.data.text |
Module: draw
skimage.draw.bezier_curve(r0, c0, r1, c1, …) Generate Bezier curve coordinates.
skimage.draw.circle(r, c, radius[, shape]) Generate coordinates of pixels within circle.
skimage.draw.circle_perimeter(r, c, radius) Generate circle perimeter coordinates.
skimage.draw.circle_perimeter_aa(r, c, radius) ... | skimage.api.skimage.draw |
skimage.draw.bezier_curve(r0, c0, r1, c1, r2, c2, weight, shape=None) [source]
Generate Bezier curve coordinates. Parameters
r0, c0int
Coordinates of the first control point.
r1, c1int
Coordinates of the middle control point.
r2, c2int
Coordinates of the last control point.
weightdouble
Middle contr... | skimage.api.skimage.draw#skimage.draw.bezier_curve |
skimage.draw.circle(r, c, radius, shape=None) [source]
Generate coordinates of pixels within circle. Parameters
r, cdouble
Center coordinate of disk.
radiusdouble
Radius of disk.
shapetuple, optional
Image shape which is used to determine the maximum extent of output pixel coordinates. This is useful fo... | skimage.api.skimage.draw#skimage.draw.circle |
skimage.draw.circle_perimeter(r, c, radius, method='bresenham', shape=None) [source]
Generate circle perimeter coordinates. Parameters
r, cint
Centre coordinate of circle.
radiusint
Radius of circle.
method{‘bresenham’, ‘andres’}, optional
bresenham : Bresenham method (default) andres : Andres method
... | skimage.api.skimage.draw#skimage.draw.circle_perimeter |
skimage.draw.circle_perimeter_aa(r, c, radius, shape=None) [source]
Generate anti-aliased circle perimeter coordinates. Parameters
r, cint
Centre coordinate of circle.
radiusint
Radius of circle.
shapetuple, optional
Image shape which is used to determine the maximum extent of output pixel coordinates. ... | skimage.api.skimage.draw#skimage.draw.circle_perimeter_aa |
skimage.draw.disk(center, radius, *, shape=None) [source]
Generate coordinates of pixels within circle. Parameters
centertuple
Center coordinate of disk.
radiusdouble
Radius of disk.
shapetuple, optional
Image shape which is used to determine the maximum extent of output pixel coordinates. This is usefu... | skimage.api.skimage.draw#skimage.draw.disk |
skimage.draw.ellipse(r, c, r_radius, c_radius, shape=None, rotation=0.0) [source]
Generate coordinates of pixels within ellipse. Parameters
r, cdouble
Centre coordinate of ellipse.
r_radius, c_radiusdouble
Minor and major semi-axes. (r/r_radius)**2 + (c/c_radius)**2 = 1.
shapetuple, optional
Image shape... | skimage.api.skimage.draw#skimage.draw.ellipse |
skimage.draw.ellipse_perimeter(r, c, r_radius, c_radius, orientation=0, shape=None) [source]
Generate ellipse perimeter coordinates. Parameters
r, cint
Centre coordinate of ellipse.
r_radius, c_radiusint
Minor and major semi-axes. (r/r_radius)**2 + (c/c_radius)**2 = 1.
orientationdouble, optional
Major ... | skimage.api.skimage.draw#skimage.draw.ellipse_perimeter |
skimage.draw.ellipsoid(a, b, c, spacing=(1.0, 1.0, 1.0), levelset=False) [source]
Generates ellipsoid with semimajor axes aligned with grid dimensions on grid with specified spacing. Parameters
afloat
Length of semimajor axis aligned with x-axis.
bfloat
Length of semimajor axis aligned with y-axis.
cfloat... | skimage.api.skimage.draw#skimage.draw.ellipsoid |
skimage.draw.ellipsoid_stats(a, b, c) [source]
Calculates analytical surface area and volume for ellipsoid with semimajor axes aligned with grid dimensions of specified spacing. Parameters
afloat
Length of semimajor axis aligned with x-axis.
bfloat
Length of semimajor axis aligned with y-axis.
cfloat
Le... | skimage.api.skimage.draw#skimage.draw.ellipsoid_stats |
skimage.draw.line(r0, c0, r1, c1) [source]
Generate line pixel coordinates. Parameters
r0, c0int
Starting position (row, column).
r1, c1int
End position (row, column). Returns
rr, cc(N,) ndarray of int
Indices of pixels that belong to the line. May be used to directly index into an array, e.g. img[r... | skimage.api.skimage.draw#skimage.draw.line |
skimage.draw.line_aa(r0, c0, r1, c1) [source]
Generate anti-aliased line pixel coordinates. Parameters
r0, c0int
Starting position (row, column).
r1, c1int
End position (row, column). Returns
rr, cc, val(N,) ndarray (int, int, float)
Indices of pixels (rr, cc) and intensity values (val). img[rr, cc]... | skimage.api.skimage.draw#skimage.draw.line_aa |
skimage.draw.line_nd(start, stop, *, endpoint=False, integer=True) [source]
Draw a single-pixel thick line in n dimensions. The line produced will be ndim-connected. That is, two subsequent pixels in the line will be either direct or diagonal neighbours in n dimensions. Parameters
startarray-like, shape (N,)
Th... | skimage.api.skimage.draw#skimage.draw.line_nd |
skimage.draw.polygon(r, c, shape=None) [source]
Generate coordinates of pixels within polygon. Parameters
r(N,) ndarray
Row coordinates of vertices of polygon.
c(N,) ndarray
Column coordinates of vertices of polygon.
shapetuple, optional
Image shape which is used to determine the maximum extent of outpu... | skimage.api.skimage.draw#skimage.draw.polygon |
skimage.draw.polygon2mask(image_shape, polygon) [source]
Compute a mask from polygon. Parameters
image_shapetuple of size 2.
The shape of the mask.
polygonarray_like.
The polygon coordinates of shape (N, 2) where N is the number of points. Returns
mask2-D ndarray of type ‘bool’.
The mask that corres... | skimage.api.skimage.draw#skimage.draw.polygon2mask |
skimage.draw.polygon_perimeter(r, c, shape=None, clip=False) [source]
Generate polygon perimeter coordinates. Parameters
r(N,) ndarray
Row coordinates of vertices of polygon.
c(N,) ndarray
Column coordinates of vertices of polygon.
shapetuple, optional
Image shape which is used to determine maximum exte... | skimage.api.skimage.draw#skimage.draw.polygon_perimeter |
skimage.draw.random_shapes(image_shape, max_shapes, min_shapes=1, min_size=2, max_size=None, multichannel=True, num_channels=3, shape=None, intensity_range=None, allow_overlap=False, num_trials=100, random_seed=None) [source]
Generate an image with random shapes, labeled with bounding boxes. The image is populated wi... | skimage.api.skimage.draw#skimage.draw.random_shapes |
skimage.draw.rectangle(start, end=None, extent=None, shape=None) [source]
Generate coordinates of pixels within a rectangle. Parameters
starttuple
Origin point of the rectangle, e.g., ([plane,] row, column).
endtuple
End point of the rectangle ([plane,] row, column). For a 2D matrix, the slice defined by th... | skimage.api.skimage.draw#skimage.draw.rectangle |
skimage.draw.rectangle_perimeter(start, end=None, extent=None, shape=None, clip=False) [source]
Generate coordinates of pixels that are exactly around a rectangle. Parameters
starttuple
Origin point of the inner rectangle, e.g., (row, column).
endtuple
End point of the inner rectangle (row, column). For a 2... | skimage.api.skimage.draw#skimage.draw.rectangle_perimeter |
skimage.draw.set_color(image, coords, color, alpha=1) [source]
Set pixel color in the image at the given coordinates. Note that this function modifies the color of the image in-place. Coordinates that exceed the shape of the image will be ignored. Parameters
image(M, N, D) ndarray
Image
coordstuple of ((P,) n... | skimage.api.skimage.draw#skimage.draw.set_color |
skimage.dtype_limits(image, clip_negative=False) [source]
Return intensity limits, i.e. (min, max) tuple, of the image’s dtype. Parameters
imagendarray
Input image.
clip_negativebool, optional
If True, clip the negative range (i.e. return 0 for min intensity) even if the image dtype allows negative values. ... | skimage.api.skimage#skimage.dtype_limits |
skimage.ensure_python_version(min_version) [source] | skimage.api.skimage#skimage.ensure_python_version |
Module: exposure
skimage.exposure.adjust_gamma(image[, …]) Performs Gamma Correction on the input image.
skimage.exposure.adjust_log(image[, gain, inv]) Performs Logarithmic correction on the input image.
skimage.exposure.adjust_sigmoid(image[, …]) Performs Sigmoid Correction on the input image.
skimage.exposur... | skimage.api.skimage.exposure |
skimage.exposure.adjust_gamma(image, gamma=1, gain=1) [source]
Performs Gamma Correction on the input image. Also known as Power Law Transform. This function transforms the input image pixelwise according to the equation O = I**gamma after scaling each pixel to the range 0 to 1. Parameters
imagendarray
Input im... | skimage.api.skimage.exposure#skimage.exposure.adjust_gamma |
skimage.exposure.adjust_log(image, gain=1, inv=False) [source]
Performs Logarithmic correction on the input image. This function transforms the input image pixelwise according to the equation O = gain*log(1 + I) after scaling each pixel to the range 0 to 1. For inverse logarithmic correction, the equation is O = gain... | skimage.api.skimage.exposure#skimage.exposure.adjust_log |
skimage.exposure.adjust_sigmoid(image, cutoff=0.5, gain=10, inv=False) [source]
Performs Sigmoid Correction on the input image. Also known as Contrast Adjustment. This function transforms the input image pixelwise according to the equation O = 1/(1 + exp*(gain*(cutoff - I))) after scaling each pixel to the range 0 to... | skimage.api.skimage.exposure#skimage.exposure.adjust_sigmoid |
skimage.exposure.cumulative_distribution(image, nbins=256) [source]
Return cumulative distribution function (cdf) for the given image. Parameters
imagearray
Image array.
nbinsint, optional
Number of bins for image histogram. Returns
img_cdfarray
Values of cumulative distribution function.
bin_cent... | skimage.api.skimage.exposure#skimage.exposure.cumulative_distribution |
skimage.exposure.equalize_adapthist(image, kernel_size=None, clip_limit=0.01, nbins=256) [source]
Contrast Limited Adaptive Histogram Equalization (CLAHE). An algorithm for local contrast enhancement, that uses histograms computed over different tile regions of the image. Local details can therefore be enhanced even ... | skimage.api.skimage.exposure#skimage.exposure.equalize_adapthist |
skimage.exposure.equalize_hist(image, nbins=256, mask=None) [source]
Return image after histogram equalization. Parameters
imagearray
Image array.
nbinsint, optional
Number of bins for image histogram. Note: this argument is ignored for integer images, for which each integer is its own bin. mask: ndarray o... | skimage.api.skimage.exposure#skimage.exposure.equalize_hist |
skimage.exposure.histogram(image, nbins=256, source_range='image', normalize=False) [source]
Return histogram of image. Unlike numpy.histogram, this function returns the centers of bins and does not rebin integer arrays. For integer arrays, each integer value has its own bin, which improves speed and intensity-resolu... | skimage.api.skimage.exposure#skimage.exposure.histogram |
skimage.exposure.is_low_contrast(image, fraction_threshold=0.05, lower_percentile=1, upper_percentile=99, method='linear') [source]
Determine if an image is low contrast. Parameters
imagearray-like
The image under test.
fraction_thresholdfloat, optional
The low contrast fraction threshold. An image is consi... | skimage.api.skimage.exposure#skimage.exposure.is_low_contrast |
skimage.exposure.match_histograms(image, reference, *, multichannel=False) [source]
Adjust an image so that its cumulative histogram matches that of another. The adjustment is applied separately for each channel. Parameters
imagendarray
Input image. Can be gray-scale or in color.
referencendarray
Image to m... | skimage.api.skimage.exposure#skimage.exposure.match_histograms |
skimage.exposure.rescale_intensity(image, in_range='image', out_range='dtype') [source]
Return image after stretching or shrinking its intensity levels. The desired intensity range of the input and output, in_range and out_range respectively, are used to stretch or shrink the intensity range of the input image. See e... | skimage.api.skimage.exposure#skimage.exposure.rescale_intensity |
Module: feature
skimage.feature.blob_dog(image[, min_sigma, …]) Finds blobs in the given grayscale image.
skimage.feature.blob_doh(image[, min_sigma, …]) Finds blobs in the given grayscale image.
skimage.feature.blob_log(image[, min_sigma, …]) Finds blobs in the given grayscale image.
skimage.feature.canny(imag... | skimage.api.skimage.feature |
skimage.feature.blob_dog(image, min_sigma=1, max_sigma=50, sigma_ratio=1.6, threshold=2.0, overlap=0.5, *, exclude_border=False) [source]
Finds blobs in the given grayscale image. Blobs are found using the Difference of Gaussian (DoG) method [1]. For each blob found, the method returns its coordinates and the standar... | skimage.api.skimage.feature#skimage.feature.blob_dog |
skimage.feature.blob_doh(image, min_sigma=1, max_sigma=30, num_sigma=10, threshold=0.01, overlap=0.5, log_scale=False) [source]
Finds blobs in the given grayscale image. Blobs are found using the Determinant of Hessian method [1]. For each blob found, the method returns its coordinates and the standard deviation of t... | skimage.api.skimage.feature#skimage.feature.blob_doh |
skimage.feature.blob_log(image, min_sigma=1, max_sigma=50, num_sigma=10, threshold=0.2, overlap=0.5, log_scale=False, *, exclude_border=False) [source]
Finds blobs in the given grayscale image. Blobs are found using the Laplacian of Gaussian (LoG) method [1]. For each blob found, the method returns its coordinates an... | skimage.api.skimage.feature#skimage.feature.blob_log |
class skimage.feature.BRIEF(descriptor_size=256, patch_size=49, mode='normal', sigma=1, sample_seed=1) [source]
Bases: skimage.feature.util.DescriptorExtractor BRIEF binary descriptor extractor. BRIEF (Binary Robust Independent Elementary Features) is an efficient feature point descriptor. It is highly discriminative... | skimage.api.skimage.feature#skimage.feature.BRIEF |
extract(image, keypoints) [source]
Extract BRIEF binary descriptors for given keypoints in image. Parameters
image2D array
Input image.
keypoints(N, 2) array
Keypoint coordinates as (row, col). | skimage.api.skimage.feature#skimage.feature.BRIEF.extract |
__init__(descriptor_size=256, patch_size=49, mode='normal', sigma=1, sample_seed=1) [source]
Initialize self. See help(type(self)) for accurate signature. | skimage.api.skimage.feature#skimage.feature.BRIEF.__init__ |
skimage.feature.canny(image, sigma=1.0, low_threshold=None, high_threshold=None, mask=None, use_quantiles=False) [source]
Edge filter an image using the Canny algorithm. Parameters
image2D array
Grayscale input image to detect edges on; can be of any dtype.
sigmafloat, optional
Standard deviation of the Gau... | skimage.api.skimage.feature#skimage.feature.canny |
class skimage.feature.Cascade
Bases: object Class for cascade of classifiers that is used for object detection. The main idea behind cascade of classifiers is to create classifiers of medium accuracy and ensemble them into one strong classifier instead of just creating a strong one. The second advantage of cascade cl... | skimage.api.skimage.feature#skimage.feature.Cascade |
detect_multi_scale()
Search for the object on multiple scales of input image. The function takes the input image, the scale factor by which the searching window is multiplied on each step, minimum window size and maximum window size that specify the interval for the search windows that are applied to the input image ... | skimage.api.skimage.feature#skimage.feature.Cascade.detect_multi_scale |
eps | skimage.api.skimage.feature#skimage.feature.Cascade.eps |
features_number | skimage.api.skimage.feature#skimage.feature.Cascade.features_number |
stages_number | skimage.api.skimage.feature#skimage.feature.Cascade.stages_number |
stumps_number | skimage.api.skimage.feature#skimage.feature.Cascade.stumps_number |
window_height | skimage.api.skimage.feature#skimage.feature.Cascade.window_height |
window_width | skimage.api.skimage.feature#skimage.feature.Cascade.window_width |
__init__()
Initialize cascade classifier. Parameters
xml_filefile’s path or file’s object
A file in a OpenCv format from which all the cascade classifier’s parameters are loaded.
epscnp.float32_t
Accuracy parameter. Increasing it, makes the classifier detect less false positives but at the same time the fal... | skimage.api.skimage.feature#skimage.feature.Cascade.__init__ |
class skimage.feature.CENSURE(min_scale=1, max_scale=7, mode='DoB', non_max_threshold=0.15, line_threshold=10) [source]
Bases: skimage.feature.util.FeatureDetector CENSURE keypoint detector.
min_scaleint, optional
Minimum scale to extract keypoints from.
max_scaleint, optional
Maximum scale to extract keypoin... | skimage.api.skimage.feature#skimage.feature.CENSURE |
detect(image) [source]
Detect CENSURE keypoints along with the corresponding scale. Parameters
image2D ndarray
Input image. | skimage.api.skimage.feature#skimage.feature.CENSURE.detect |
__init__(min_scale=1, max_scale=7, mode='DoB', non_max_threshold=0.15, line_threshold=10) [source]
Initialize self. See help(type(self)) for accurate signature. | skimage.api.skimage.feature#skimage.feature.CENSURE.__init__ |
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