Fixed mapping computating features by DIP_Image
F = IM_MEASURE(A,GRAY,FEATURES)
| A|| Dataset with binary object images dataset (possibly multi-band)|
| GRAY|| Gray-valued images (matched with A, optional)|
| FEATURES|| Features to be computed|
In each image of the measurement set GRAY the features given in FEATURES are measured. In A a segmented version of GRAY has to be supplied. When no GRAY is supplied, the binary images in A are used. Only the largest object in each image is considered.
| F|| Dataset with computed features|
The following features may be computed
'dimension','mean','stddev','gravity','size','center','max','min', 'maxval','minval','feret'','inertia','ccbendingenergy'. Note that some features like 'mean' (mean image intensity) and 'stddev' (standard deviation of image intensity) are not useful for binary images. Run MEASUREHELP to get some information on these measures.
Use FEATURES = 'all' for computing all features. Use MEASUREHELP for some description of the features. Use IM_FEATURES for a set of features not based on DIP_Image
datasets, datafiles, measure, measurehelp,
|This file has been automatically generated. If badly readable, use the help-command in Matlab.|