Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/1841
Título: Performance evaluation of image segmentation
Autor: Monteiro, Fernando C.
Campilho, Aurélio
Palavras-chave: Performance evaluation
Segmentation measures
Data: 2006
Editora: Springer
Citação: Monteiro, Fernando C.; Campilho, Aurélio (2006) - Performance evaluation of image segmentation. IN Image Analysis and Recognition. Berlin: Springer. ISBN 978-3-540-44891-4. p.248-259.
Relatório da Série N.º: Lecture Notes in Computer Science;4141
Resumo: In spite of significant advances in image segmentation techniques, evaluation of these methods thus far has been largely subjective. Typically, the effectiveness of a new algorithm is demonstrated only by the presentation of a few segmented images that are evaluated by some method, or it is otherwise left to subjective evaluation by the reader. We propose a new approach for evaluation of segmentation that takes into account not only the accuracy of the boundary localization of the created segments but also the under-segmentation and over-segmentation effects, regardless to the number of regions in each partition. In addition, it takes into account the way humans perceive visual information. This new metric can be applied both to automatically provide a ranking among different segmentation algorithms and to find an optimal set of input parameters of a given algorithm.
URI: http://hdl.handle.net/10198/1841
ISBN: 978-3-540-44891-4
ISSN: 0302-9743
Versão do Editor: http://www.springerlink.com/content/p11148435q7283n0/fulltext.pdf
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