Posted by
Noel BONNET on
URL: http://imagej.273.s1.nabble.com/Segmentation-of-multi-component-images-tp3699315.html
Dear ImageJ users,
I have now released two plug-ins for the interactive or automatic
segmentation of multiple component images:
* the first one (called Segmentation_3_component_image_514) concerns the
segmentation of two-component images. This segmentation can be done
interactively or automatically. In both cases, the scatterplot of the 2
components (viewed as two single images) is first built. For the interactive
option, several parts of the scatterplot are selected and back-mapping to
the image space is performed.
For the automatic method, the probability density function is estimated by
the Parzen method, for different values of the parameter associated to the
smoothing kernel. Then, the user has to select the value of the parameter
that corresponds to the number of classes he is interested in. Then, the pdf
is partitioned into different classes according to the watersheds approach
originating from mathematical morphology. Finally, after backmapping, the
image space is segmented.
* the second one (called Segmentation_max4_component_image_514) performs the
segmentation of 3- or 4-component images semi-automatically, along the same
lines as the other plug-in described above. In this case, the user must
choose parameters corresponding to 3D or 4D scatterplots with small
dimensions, otherwise the computing time is prohibitively long.
The 2 plug-ins are available at:
http://www.univ-reims.fr/INSERM514/ImageJI hope these plug-ins will be found useful. Feedback will be appreciated.
Noel