In this work we describe the Topological Tree (TT) as a knowledge representation method that relates some important visual and spatial features of image regions, namely the color similarity, the inclusion and the spatial adjacency. Starting from color-based region segmentation of an image into disjoint regions, their spatial relationships can be devised and described with graph-based methods. We are interested in the region’s propriety “to be included into” (in the sense of “surrounded by”) another region. This property could be very useful in biomedical imaging and in particular in the diagnosis of skin melanoma. The TT can be constructed after segmentation, by computing the spatial relationships of regions or can be generated directly during the segmentation: to this aim we present a novel recursive fuzzy c-means (FCM) clustering algorithm based on the PCA of the color space. In the paper, in addition to the TT definition and the construction algorithm description, some results are presented and discussed.

Using the Topological Tree for skin lesion structure description / Cucchiara, Rita; Grana, Costantino. - STAMPA. - (2002), pp. 166-170. (Intervento presentato al convegno Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems tenutosi a Podere d'Ombriano, Crema, Italy nel Sep 16-18).

Using the Topological Tree for skin lesion structure description

CUCCHIARA, Rita;GRANA, Costantino
2002

Abstract

In this work we describe the Topological Tree (TT) as a knowledge representation method that relates some important visual and spatial features of image regions, namely the color similarity, the inclusion and the spatial adjacency. Starting from color-based region segmentation of an image into disjoint regions, their spatial relationships can be devised and described with graph-based methods. We are interested in the region’s propriety “to be included into” (in the sense of “surrounded by”) another region. This property could be very useful in biomedical imaging and in particular in the diagnosis of skin melanoma. The TT can be constructed after segmentation, by computing the spatial relationships of regions or can be generated directly during the segmentation: to this aim we present a novel recursive fuzzy c-means (FCM) clustering algorithm based on the PCA of the color space. In the paper, in addition to the TT definition and the construction algorithm description, some results are presented and discussed.
2002
Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems
Podere d'Ombriano, Crema, Italy
Sep 16-18
166
170
Cucchiara, Rita; Grana, Costantino
Using the Topological Tree for skin lesion structure description / Cucchiara, Rita; Grana, Costantino. - STAMPA. - (2002), pp. 166-170. (Intervento presentato al convegno Sixth International Conference on Knowledge-Based Intelligent Information & Engineering Systems tenutosi a Podere d'Ombriano, Crema, Italy nel Sep 16-18).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/20582
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