The aim of the Image class is to facilitate the manipulation of multi-dimensional images within Matlab. Multidimensional images (2D, 3D, time-lapse) of various types (grayscale, color, binary, label...) can be easily manipulated and processed in an unified way. Meta-data such as spatial calibration can be specified, and are taken into account for quantitative image analysis, making the package suitable for bio-image analysis.
Several methods encapsulate features from the Image Processing Toolbox, and some original ones are provided.
This version is mostly for providing an octave-packaged release.
New features
- enhanced the
readSeries
method kmeans
can now be applied also to grayscale or intensity images, resulting in multi-level thresholding- added
orthogonalProjection
method to compute min or max along main directions of 3D image - method
findLabels
was renamed asfindRegionLabels
- created methods
regionCentroids
,regionBoxes
,regionEquivalentEllipsoids
for analysis of regions in 2D/3D images fold
/unfold
methods provide better integration with the Table class (rquires the MatStats toolbox)- added
regionIsosurfaces
for visualizing 3D label images