This paper illustrates how strategies for structural description of images-based on the detection of salient features in the image-can be more efficiently realised by integrating them with the multiresolution approach to reduce details, up to the level at which such features are still recognisable. Since different structures of interest are visible in a restricted range of resolution levels, the combination of structural description with multi-resolution allows the automatic recognition of features at the minimum sufficient level, thus saving a costly description which would store irrelevant details. (C) 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.
Matching the resolution level to salient image features / Cinque, Luigi; Bottoni, Paolo Gaspare; LEVIALDI GHIRON, Stefano; P., Mussio. - In: PATTERN RECOGNITION. - ISSN 0031-3203. - STAMPA. - 31:1(1998), pp. 89-104. [10.1016/s0031-3203(97)00021-6]
Matching the resolution level to salient image features
CINQUE, LUIGI;BOTTONI, Paolo Gaspare;LEVIALDI GHIRON, Stefano;
1998
Abstract
This paper illustrates how strategies for structural description of images-based on the detection of salient features in the image-can be more efficiently realised by integrating them with the multiresolution approach to reduce details, up to the level at which such features are still recognisable. Since different structures of interest are visible in a restricted range of resolution levels, the combination of structural description with multi-resolution allows the automatic recognition of features at the minimum sufficient level, thus saving a costly description which would store irrelevant details. (C) 1997 Pattern Recognition Society. Published by Elsevier Science Ltd.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
