Talks and Poster Presentations (with Proceedings-Entry):

C. Smochina, V. Manta, W. Kropatsch:
"Sampling Step Importance in Hierarchical Semantic Segmentation of Microscopic Images";
Talk: 15th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Rumänien; 2011-10-14 - 2011-10-16; in: "15th International Conference on System Theory, Control and Computing 2011", (2011), 1 - 6.

English abstract:
The objective of semantic segmentation in
microscopic images is to extract the cellular, nuclear or tissue
components. This problem is challenging due to the large
variations of these components features (size, shape,
orientation or texture). In this paper we improve the
technique presented in [17] used to identify the epithelial
nuclei (crypt) against interstitial nuclei in microscopic images
taken from colon tissues. In the proposed enhanced approach,
the crypt inner boundary is detected using the closing
morphological pyramid instead of morphological hierarchy.
The outer crypt border is determined by the epithelial nuclei,
overlapped by the maximal isoline of the inner boundary. The
use of sampling in building the pyramid offers computational
efficiency, reduces the amount of used memory, increase the
robustness and preserve the quality results. An analysis of the
two approaches is performed considering the number of pixels
processed to create each level. Also the relation between the
levels of the hierarchical structures is established.

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.