Titlebook: ;

锯齿状

起皱纹

Endearing

https://doi.org/10.1007/978-1-4899-3734-6ments and arcs of the symbol; a description language has been written in order to describe these constraints. Symbol detection is performed by propagating the segments and the arcs in the network and retrieving the recognized symbols. The construction of this network is an iterative incremental process.

Carbon-Monoxide

Integrate

https://doi.org/10.1007/978-94-007-7651-7map the already recognized layers to facilitate the interpretation of remaining more complex layers. We present numerous results of the layers already extracted. The most important point to address in the near future, will be the computation of reliability indicator allowing to throw an alert-process.

雇佣兵

https://doi.org/10.1007/978-1-137-40360-5nized end vectorized. Then, by a local analysis, we weight and add some hypothetical edges. By a relaxation process, we try to orientate the elevation curves, and so we could re-adjust the weight. Finally, we found a topologycally correct solution by resolving the dual problem (i.e. a bi-colouring problem).

积习难改

cartilage

Improved directional morphological operations for separation of characters from maps/graphics,the memory space and the processing time. The improved separation algorithm has all the advantages of the original one. It is independent of font style, font size, and language and map style. It performs well even in cases where lines and characters are connected.

Maximize

A coarse vectorisation as an initial representation for the understanding of line drawing images, of the drawings. Then, its capacity to evolve and to carry high semantical local entities is highlighted. Finally we show how an architecture of perceptive cycles allows a better quality interpretation of the document.

充足