Matlab Image Class v1.1.2

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 as findRegionLabels
• 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

Matlab Image Class v1.1.1

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.

New features

• added orthogonalProjection method
• updated kmeans method to work also on scalar images (resulting in multi-level thresholding)
• updated several methods for analysis of region to better take into account the spatial calibration
• added regionEquivalentEllipses, and regionBoxes
• better management of image name for creating name of new images
• added regionIsosurface for 3D visualisation of label images

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

Matlab Image Class 1.0

This is the first release of the Matlab Image Class.

The package contains a class "Image" that encapsulate image data and meta, and provides nearly 200 methods for image processing, exploration and analysis.