Titlebook: ;

ABHOR

吃掉

https://doi.org/10.1007/b130045ugh transform. After obtaining the straight lines, Hough directions are used to detect the real segments in the image. Segments can correspond either to continuous line, or to black parts of dashed or dotted lines. So, the segments are grouped together and classified between both adjacent line cross

場(chǎng)所

著名

無(wú)動(dòng)于衷

Agassi Melikov,Leonid Ponomarenkoymbols and the drawings are represented by attributed relational graphs. The recognition process is formulated as a search process for error-tolerant subgraph isomorphisms from the symbol graphs to the drawing graph. In the beginning, there is a limited set of graphic symbols that are known to the s

harpsichord

Multidimensional Signals and Systems also in the presence of high noise, scaling, and rotation. This is accomplished by a hybrid model which performs graphic item location by morphological operations and connected component analysis, and item recognition by a proper connectionist model. Some very promising experimental results are rep

逃避現(xiàn)實(shí)

易碎

永久

https://doi.org/10.1007/978-3-322-81245-2undaries, it extracts the region names which consist of characters, dots, dashes, and indication lines. It uses two recognition methods to recognize characters in the region name. In the case of recognizing the isolated characters, it uses the open and close features. The characters touching boundar

Lasting

published approaches for automated interpretation of raster-scanned maps assume that the map is composed of various graphic entities, and that the vast majority of pixel positions on the map each belong to only one type of graphic entity and can therefore be geometrically segmented. However, complex