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C. Smochina, V. Manta, W. Kropatsch:
"Crypts detection in microscopic images using hierarchical structures";
Pattern Recognition Letters, 34 (2013), 8; 934 - 941.

This paper
presents
an extended and improved version of an automatic
technique
which robustly
identifies
the
epithelial nuclei (crypt)
against interstitial nuclei
in
microscopic images taken from colon
tissues
.
The detection of the
crypt inner boundary
is performed
using the closing morphological hierarchy
.
The disadvantages of this approach
related to the execution time and
the
used memory
are highlighted and
the mor
phological pyramid is used instead
due to its
computational efficiency, the
reduced
amount of used
memory
and
the increase
d
robustness. A
n analysis of
the two approaches is
performed
considering the
number of processed pixels
, the used memory and the compl
exity
.
The outer border is
determined
by
the
epithelial nuclei overlapped by
the maximal isoline of the inner boundary
.
The percentage of
the mis
-
segmented nuclei
against
epithelial nuclei
per crypt
is used to
evaluat
e
the proposed method
s
.
The limitations
are described
in order
to highlight the situations in which the current approach
es
do not provide suitable
results.

C rypt s egmentation, M orphological hierarchy, M orphological Pyramid, Biomedical imaging, Pathology, Microscopy