Full Changelog#
0.5.2.dev59+ga0ff02b (2025-01-20)#
Breaking Changes#
The
Asda
andLamb_Oseen
classes have been removed and replaced with functions that replicate the original process.The following function were renamed: -
gen_vel
->generate_velocity_field
-gamma_values
->calculate_gamma_values
-vortex_property
->get_vortex_properties
-get_grid
->get_vortex_meshgrid
-center_edge
->get_vortex_edges
-get_vtheta
->get_rotational_velocity
-get_vradial
->get_radial_velocity
-get_vxvy
->get_velocity_field
Now to use, the properties that were previously stored within the class should now be passed through the arguments of the methods in case the method used these arguments.
Example:
lo.gen_vel(index[1], index[0])
->asda.generate_velocity_field(vx, vy, index[1], index[0], r)
(#185)Increased the minimum version of Python to 3.10. This comes along with an increase in the dependencies versions. (#194)
Now all inputs to
sunkit_image.enhance.mgn
beyond the input array are keyword arguments. (#194)Increased the minimum required version of
sunpy
to the latest LTS version 6.0.0 (#223)All functions under (
sunkit_image.radial
) now have a settable fill value which now defaults to NaN instead of 0. (#231)The function
set_attenuation_coefficients
has been removed from the public API.Now you can pass in the inputs used by
set_attenuation_coefficients
directly intosunkit_image.radial.fnrgf
, which now acceptsmean_attenuation_range
andstd_attenuation_range
. (#243)
Removals#
The coalignment methods
calculate_solar_rotate_shift
andmapsequence_coalign_by_rotation
present in thesunkit_image.coalignment
have been removed, with no replacement. Correspondingly the gallery exampleCompensating for Solar Rotation
making use of these methods are removed.If you wish to coalign differentially rotated maps, refer to this example in sunpy (#206)
New Features#
Added the ability to call a Wavelets Optimized Whitening (WOW) algorithm from the watroo package. (#188)
Added the
sunkit_image.stara
module which is an implementation of Sunspot Tracking And Recognition (STARA). Added an example of plotting sunspots using the STARA Finding sunspots using STARA. (#195)Added the Radial Histogram Equalizing Filter (RHEF) (
sunkit_image.radial.rhef
) to thesunkit_image.radial
package. (#205)Added a gallery example Detecting Swirls in the Solar Atmosphere demonstrating the usage of the
sunkit_image.asda
module for detecting swirls in the solar atmosphere. (#218)
Bug Fixes#
Removed the default normalization of the output maps from
sunkit_image.radial.nrgf
andsunkit_image.radial.fnrgf
. (#205)Within
sunkit_image.enhance.mgn
, the input data is now cast to float32 to work around int/float being cast to each other causing an error. (#215)Improved the Radial Histogram Equalizing Filter (RHEF) (
sunkit_image.radial.rhef
) to work with images outside of SDO/AIA. (#231)
Documentation#
Added a new example for
sunkit_image.radial.rhef
at Radial Histogram EqualizationAdded RHEF to Normalizing Radial Gradient Filters as a comparison to the other filters. (#205)
Updated all of the examples with cleaner plots and some minor english style tweaks. (#212)
Added a new example showcasing advanced usage of Wavelets Optimized Whitening (WOW) at Advanced Usage of Wavelets Optimized Whitening (WOW) (#238)
Internal Changes#
0.5.1 (2023-11-17)#
Trivial/Internal Changes#
Added the explicitly imported packages to the install requirements. (#160)
0.5.0 (2023-08-10)#
Backwards Incompatible Changes#
The following helper functions in
sunkit_image.coalignment
have been removed, with no replacement. This is because they are designed to be internal helper functions. If you need to use them in your own code create a copy of the functions from thesunkit-image
source code.parabolic_turning_point
calculate_clipping
check_for_nonfinite_entries
get_correlation_shifts
clip_edges
find_best_match_location
calculate_shift
(#100)
The following helper functions in
sunkit_image.radial
have been removed, with no replacement. This is because they are designed to be internal helper functions. If you need to use them in your own code create a copy of the functions from thesunkit-image
source code.fit_polynomial_to_log_radial_intensity
calculate_fit_radial_intensity
normalize_fit_radial_intensity
Made the following functions in
sunkit_image.trace
private:curvature_radius
(renamed to_curvature_radius
)erase_loop_in_image
(renamed to_erase_loop_in_image
)initial_direction_finding
(renamed to_initial_direction_finding
)loop_add
(renamed to_loop_add
)
These were never intended to be used by users but for the user-facing functions. (#136)
Dropped support for Python 3.8 by increasing minimum required Python version to 3.9. Dropped support for sunpy 4.0 and 4.1 by increasing minimum required sunpy version to 5.0. Dropped support for scikit-image 0.18 by increasing minimum required scikit-image version to 0.19. (#155)
Features#
Add two examples demonstrating the usage of
~sunkit_image.coalignment.mapsequence_coalign_by_match_template
and~sunkit_image.coalignment.mapsequence_coalign_by_rotation
. (#90)Added the
sunkit_image.granule
module which provides functions to segment granulation in images of the solar photosphere. The key functionality is contained in thesegment
function, which segments an image into intergranule, granule, faculae, and, optionally, dim granule. (#114)mypy
type checking has been enabled on the repository. Types have not yet been extensively added, but runningmypy
does not raise any errors. (#133)Several functions have been updated to accept either numpy array or sunpy map inputs. The following functions now accept either a numpy array or sunpy map, and return the same data type:
The following functions now accept either a numpy array or sunpy map, and their return type is unchanged:
Modifications to the
sunkit_image.granule
module.Increase in speed for large images achieved by computing the initial thresholding on a random subset of pixels.
Increase accuracy on images with spatially varying background flux levels achieved by applying a local histogram equalization before computing the initial thresholding.
Prevention of errors in finding “dim centers” in images that have all-granule edges achieved by adding a “padding” of zero pixels around the edges.
Correction of the assignment of the values 2 and 3 to brightpoints and dim centers. (#154)
Improved Documentation#
Added two notes to
sunkit_image.enhance.mgn
detailing prerequisites for using this function. (#126)Added a tutorial (Making an RGB composite image) demonstrating how to create an RGB image with three different maps. (#128)
0.4.2 (2022-05-24)#
Breaking Changes#
Minimum version of
sunpy
required is now 4.0.0
0.4.1 (2022-04-05)#
Features#
Add
~sunkit_image.coalignment.calculate_solar_rotate_shift
and~sunkit_image.coalignment.mapsequence_coalign_by_rotation
to thesunkit_image.coalignment
module. (#81)
0.4.0 (2022-03-11)#
Features#
Add the
coalignment
module ported fromsunpy
. (#78)
0.3.2 (2022-03-08)#
Trivial/Internal Changes#
Minor changes to ensure that sunkit-image is buildable on conda-forge.
0.3.1 (2021-11-19)#
Fixed a bug where a
UnitConversionError
was thrown if a non-dimensionlessQuantity
object was input for the signal incross_correlation
. (#72)Fixed a bug where the way we dealt with
astropy.units.Quantity
objects was inconsistent withArray
objects in newer versions ofnumpy
. Thepre_check_hook
option keyword argument has also been removed fromtime_lag
andpost_check_hook
has been renamed toarray_check
and now accepts two arguments. (#72)
Trivial/Internal Changes#
0.3.0 (2021-06-02)#
Features#
The
sunkit_image.time_lag
module provides functions for computing the cross-correlation, time lag, and peak cross-correlation for N-dimensional time series. (#61)Increased the minimum version of “sunpy” to 3.0.0, the new LTS release
0.2.0 (2021-05-04)#
Features#
The minimum and maximum values of the gamma transform can now be specified for
sunkit_image.enhance.mgn()
. (#60)
Bug Fixes#
Increased the minimum version of “skimage” to 0.18.0, preventing faulty code in
sunkit_image.utils.points_in_poly()
. (#59)
Trivial/Internal Changes#
Added multiple unit tests to increase code coverage. (#59)
Increased minimum supported version of sunpy to 2.0.0
Many internal package updates to documentation, the continuous integration and etc.
0.1.0 (2020-04-30)#
Features#
Added a class (
sunkit_image.utils.noise.NoiseLevelEstimation
) for noise level estimation of an image. (#12)Added a new function (
sunkit_image.radial.fnrgf
) to normalize the radial brightness gradient using a Fourier approximation. (#17)Added a function (
sunkit_image.enhance.mgn
) for applying Multi-scale Gaussian Normalization to an image (numpy.ndarray
). (#30)Added a new function (
sunkit_image.trace.occult2
) to automatically trace out loops/curved structures in an image. (#31)Added an implementation of the Automated Swirl Detection Algorithm (ASDA). (#40)
Improved Documentation#
Added an example on how to use astroscrappy.detect_cosmics to eliminate cosmic ray hits in solar images. (#35)
Trivial/Internal Changes#
Transferred
sunkit_image.utils.noise.NoiseLevelEstimation
from class object into a series of functions. (#38)