performs region separation by searching for local peaks in nuclei regions
analyses the paths between peaks and hypothesizes cuts based on heuristic criteria
in the end for each hypothesized nucleus region an initial elliptical approximation is extracted and iteratively improved by snake segmentation on the gray-scale image
output of the operator is a label images of detected (separated) nuclei regions
Greyscale Input Image
the single-channel gray-scale image to be analyzed
if the image contains multiple channels, only the first one is processed
Label Input Image
label image encoding result of prior nucleus separation with merged regions
Max. Snake Iterations
maximum number of snake iterations in region segmentation
the larger the nuclei, the more iterations are required
Snake Step Size
step-size in iterative snake optimization
the larger the size the faster the snake moves
Snake Segment Length
length of snake segments
the smaller the segments are, the more details can be extracted, however, at the same time the larger computation times are required until convergence
Show Snakes
displays intermediate results during snake segmentation
Save snakes
enables saving of intermediate results during snake segmentation
Save Results to...
path where to save intermediate results
Verbose
activates additional console output