This release contains the following changes from 0.14.0:
Enhancements
* "Reflect" mode in transforms now works fine when an image dimension has
size 1
* img_as_float now allows single-precision (32-bit) float arrays to pass
through unmodified, rather than being up-converted to 64-bit
* Speed up rgb2gray computation
* The scikit-image viewer now works with different PyQt versions
* The cycle_spin function for enhanced denoising works single-threaded when
dask is not installed now
* scikit-image's io module will no longer inadvertently set the matplotlib
backend when imported
* Fix deprecated get keyword from dask in favor of scheduler
* Add missing cval parameter to threshold_local
API changes
* Remove deprecated dynamic_range in measure.compare_psnr
0.14.0
New Features
* Lookfor function to search across the library: skimage.lookfor.
* nD support for skimage.transform.rescale, skimage.transform.resize,
and skimage.transform.pyramid_* transforms.
* Chan-Vese segmentation algorithm.
* Manual segmentation with matplotlib for fast data annotation:
skimage.future.manual_polygon_segmentation,
skimage.future.manual_lasso_segmentation.
* Hysteresis thresholding: skimage.filters.apply_hysteresis_threshold.
* Segmentation with morphological snakes:
skimage.segmentation.morphological_chan_vese (2D),
skimage.segmentation.morphological_geodesic_active_contour (2D and 3D).
* nD support for image moments: skimage.measure.moments_central,
skimage.measure.moments_central, skimage.measure.moments_normalized,
skimage.measure.moments_hu. This change leads to 3D/nD compatibility
for many regionprops.
* Image moments from coordinate input: skimage.measure.moments_coords,
skimage.measure.moments_coords_central.
* Added 3D support to blob_dog and blob_log.
* Inertia tensor and its eigenvalues can now be computed outside of
regionprops; available in skimage.measure.inertia_tensor.
* Cycle-spinning function for approximating shift-invariance by averaging
results from a series of spatial shifts: skimage.restoration.cycle_spin.
* Haar-like feature: skimage.feature.haar_like_feature,
skimage.feature.haar_like_feature_coord,
skimage.feature.draw_haar_like_feature.
* Data generation with random_shapes function: skimage.draw.random_shapes.
* Subset of LFW (Labeled Faces in the Wild) database:
skimage.data.cbcl_face_database.
* Fully reworked montage function (now with a better padding behavior):
skimage.util.montage.
* YDbDr colorspace conversion routines: skimage.color.rgb2ydbdr,
skimage.color.ydbdr2rgb.
Improvements
* VisuShrink method for skimage.restoration.denoise_wavelet.
* New max_ratio parameter for skimage.feature.match_descriptors.
* skimage.transform.resize and skimage.transform.rescale have a new
anti_aliasing option to avoid aliasing artifacts when down-sampling images.
* Support for multichannel images for skimage.feature.hog.
* Non-local means denoising (skimage.restoration.denoise_nl_means) has a new
optional parameter, sigma, that can be used to specify the noise standard
deviation. This enables noise-robust patch distance estimation.
* New alignment parameter in skimage.feature.plot_matches.
* New seed parameter in skimage.transform.probabilistic_hough_line.
* Various performance improvements.
API Changes
* skimage.util.montage. namespace has been removed, and
skimage.util.montage.montage2d function is now available as
skimage.util.montage2d.
* skimage.morphology.binary_erosion now uses True as border value, and is
now consistent with skimage.morphology.erosion.
Deprecations
* freeimage plugin has been removed from skimage.io.
* skimage.util.montage2d is deprecated and will be removed in 0.15.
Use skimage.util.montage function instead.
* skimage.novice is deprecated and will be removed in 0.16.
* skimage.transform.resize and skimage.transform.rescale have a new
anti_aliasing option that avoids aliasing artifacts when down-sampling
images. This option will be enabled by default in 0.15.
* regionprops will use row-column coordinates in 0.16.
* skimage.morphology.remove_small_holes min_size argument is deprecated
and will be removed in 0.16. Use area_threshold instead.
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