In this paper we define a Topological Tree (TT) as a knowledge representation method that aims to describe important visual and spatial features of image regions, namely the color similarity, the inclusion and the spatial adjacency. The topological tree exhibits some interesting properties that can be exploited to extract knowledge from images for information retrieval, image understanding and diagnosis purposes. Examples of applications in dermatology are described. 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 Principal Component Analysis of the color space. The recursive FCM proves to be effective for underlining the adjacency and inclusion property of regions.

Building the Topological Tree by Recursive FCM Color Clustering / Cucchiara, Rita; Grana, Costantino; Prati, Andrea; Seidenari, Stefania; Pellacani, Giovanni. - STAMPA. - 1:(2002), pp. 759-762. ((Intervento presentato al convegno Object recognition supported by user interaction for service robots tenutosi a Quebec City, Quebec, Canada, Canada nel 11-15 Aug. 2002.

Building the Topological Tree by Recursive FCM Color Clustering

CUCCHIARA, Rita;GRANA, Costantino;PRATI, Andrea;SEIDENARI, Stefania;PELLACANI, Giovanni
2002

Abstract

In this paper we define a Topological Tree (TT) as a knowledge representation method that aims to describe important visual and spatial features of image regions, namely the color similarity, the inclusion and the spatial adjacency. The topological tree exhibits some interesting properties that can be exploited to extract knowledge from images for information retrieval, image understanding and diagnosis purposes. Examples of applications in dermatology are described. 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 Principal Component Analysis of the color space. The recursive FCM proves to be effective for underlining the adjacency and inclusion property of regions.
Object recognition supported by user interaction for service robots
Quebec City, Quebec, Canada, Canada
11-15 Aug. 2002
Cucchiara, Rita; Grana, Costantino; Prati, Andrea; Seidenari, Stefania; Pellacani, Giovanni
Building the Topological Tree by Recursive FCM Color Clustering / Cucchiara, Rita; Grana, Costantino; Prati, Andrea; Seidenari, Stefania; Pellacani, Giovanni. - STAMPA. - 1:(2002), pp. 759-762. ((Intervento presentato al convegno Object recognition supported by user interaction for service robots tenutosi a Quebec City, Quebec, Canada, Canada nel 11-15 Aug. 2002.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/308136
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