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Titlebook: Image Analysis and Processing; 8th International Co Carlo Braccini,Leila DeFloriani,Gianni Vernazza Conference proceedings 1995 Springer-Ve

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21#
發(fā)表于 2025-3-25 06:51:00 | 只看該作者
22#
發(fā)表于 2025-3-25 09:58:16 | 只看該作者
23#
發(fā)表于 2025-3-25 13:19:52 | 只看該作者
24#
發(fā)表于 2025-3-25 16:16:31 | 只看該作者
25#
發(fā)表于 2025-3-25 22:48:17 | 只看該作者
Efficient attributed graph matching and its application to image analysis,tection or recognition problem becomes a problem of graph matching. In this paper, we first review different methods for graph matching. Then we introduce a new family of exact and error-tolerant graph matching algorithms that have a number of interesting properties. The algorithms are particularly
26#
發(fā)表于 2025-3-26 03:16:22 | 只看該作者
Matching Delaunay graphs,elty of our method stems from its use of a support function specified in terms of triangular face-units of the graphs under match. In this way we draw on more expressive constraints than is possible at the level of edge-units alone. We present a particularly simple face compatibility model that is e
27#
發(fā)表于 2025-3-26 04:29:33 | 只看該作者
An integrated approach to grouping and matching,ional structures established on the basis of perceptual grouping criteria are utilised in a bottom-up control strategy and hence form the input data representation for subsequent matching. Our standpoint in this paper is that the two processes should be tightly coupled to one-another so that the rel
28#
發(fā)表于 2025-3-26 11:28:19 | 只看該作者
29#
發(fā)表于 2025-3-26 14:51:12 | 只看該作者
A model based method for characterization and location of curved image features,ses and B-splines based curves. The method uses all the grey level information of the pixels contained within a window around the feature of interest and produces a complete parametric model that best approximates in a mean-square sense the observed grey level image intensities within the working ar
30#
發(fā)表于 2025-3-26 20:52:00 | 只看該作者
An image processing library based on abstract image data-types in C++,cy of implementation of image processing operations. Operations are designed using abstract concepts for images and pixel manipulation to be independent of the image data-type. Operations may be optimized in an iterative way by replacing abstract concepts with data-type specific operations, reaching
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