Please use this identifier to cite or link to this item:
|Type:||Artigo de evento|
|Title:||Comparing Yeast Cells Segmentation Through Hierarchical Trees|
|Author:||De Carvalho M.A.G.|
|Abstract:||Image filtering and segmentation consists of separating an image into regions according to some criteria and to the application finality. Recent publications in the image processing domain make use of a segmentation strategy called multiscale or hierarchical segmentation. The multiscale segmentation provides a family of partitions of an image, presenting it at several levels of resolution. This work studies a multiscale image representation called Tree of the Critical Lakes (TCL), that provides an set of nested partitions of an image. The Tree of the Critical Lakes is defined from the Watershed Transform, the traditional tool of Mathematical Morphology in image segmentation operations. Moreover, we implement a comparison between TCL and another way of image representation, called Component Tree (CT). The CT consists of a set of cross-sections images and its connected components, linked thanks to the inclusion relation. We show experiments of image segmentation, based on TCLs and CTs, for a group of yeast cells images.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.