This PR introduces minor bug fixes and some new functionality to version 0.2.2
New
A new class called PeakMetrics in peak_utils can be used to extract metrics (e.g. prominence, length, etc) from segmented peaks. It is used for filtering peaks based on those metrics.
Both ConditionArray and ExperimentArray have filtering of peaks added as methods. Note that peak labels are always kept sequential.
Improved
N4 bias correction is done on the entire stack and can downsample images before estimating the log bias field. It can also return the log bias field instead of the corrected image.
Improved UPeak model structure and weights.
Fixed
Fixed a bug that resulted in peaks being greatly under segmented. The issue was with setting the initial intensity value to use when starting the watershed algorithm for finding peaks.
This PR introduces minor bug fixes and some new functionality to version 0.2.2
New
PeakMetricsinpeak_utilscan be used to extract metrics (e.g. prominence, length, etc) from segmented peaks. It is used for filtering peaks based on those metrics.ConditionArrayandExperimentArrayhave filtering of peaks added as methods. Note that peak labels are always kept sequential.Improved
Fixed