Intelligent Interactive Volume Classification

Grau, Sergi; Puig, Anna; Escalera, Sergio; Salamó, Maria

Intelligent Interactive Volume Classification

Files

023-028.pdf (4.72 MB)

Date

2013

Authors

Grau, Sergi
Puig, Anna
Escalera, Sergio
Salamó, Maria

Publisher

The Eurographics Association

Abstract

This paper defines an intelligent and interactive framework to classify multiple regions of interest from the original data on demand, without requiring any preprocessing or previous segmentation. The proposed intelligent and interactive approach is divided in three stages: visualize, training and testing. First, users visualize and label some samples directly on slices of the volume. Training and testing are based on a framework of Error Correcting Output Codes and Adaboost classifiers that learn to classify each region the user has painted. Later, at the testing stage, each classifier is directly applied on the rest of samples and combined to perform multi-class labeling, being used in the final rendering. We also parallelized the training stage using a GPU-based implementation for obtaining a rapid interaction and classification.

        @inproceedings{:10.2312/PE.PG.PG2013short.023-028
,
booktitle = {Pacific Graphics Short Papers
},
editor = {Bruno Levy and Xin Tong and KangKang Yin
},
title = {{Intelligent Interactive Volume Classification
}},
author = {Grau, Sergi and 
Puig, Anna and 
Escalera, Sergio and 
Salamó, Maria
},
year = {2013
},
publisher = {The Eurographics Association
},
ISBN = {978-3-905674-50-7
},
DOI = {/10.2312/PE.PG.PG2013short.023-028
}
}