Matlab Image Class v1.1
The aim of the Image class is to facilitate the manipulation of multi-dimensional images within Matlab. Grayscale, color or binary images in 2D or 3D 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.
New features
- added segmentation by k-means clustering
- added segmentation by max entropy theshold
- improved management of meta-data when importing TIF files
- improved import of Tiff stack saved with ImageJ
- added floodfill method
- added computation of geodesic distance map
- changed convention in computation of distance maps
- added fold/unfold methods to convert multi-channel image into a data table (requires the MatStats toolbox)
- renamed methods "xxxNumber" to "xxxCount"
- better propagation of image name during processing