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https://doi.org/10.1007/978-3-322-81495-1component of the dimension-set. We first introduce the OPD expression of the structural relations among the dimension-set components and the illustration of ISO and ANSI drafting standards. We then present principles and implementation of a method of segmentation and recognition of dimension text in

嘴唇可修剪

Christian van Husen,Jivka Ovtcharovaas concerned with the interpretation of low level vectorised data. For simple drawings, direct association and interpretation of the low level data often provides a very effective technique but drawing data, whether linework or higher level textual information, can be subject to inaccuracies and unc

固執(zhí)點(diǎn)好

An alternative approach to the performance evaluation of thinning algorithms for document processinse of these algorithms in the application domain of document processing: decomposition of digital lines into meaningful parts. The stability of the decompositions obtained according to simple rules, within given classes of lines, is assumed as a performance index. Experimental results, obtained usin

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Cytokines

Detection of horizontal lines in noisy run length encoded images: The FAST method,ion of horizontal lines in an interactive drawing conversion system for telephone company drawings. At the core of the algorithm are the processes of filtering run lengths, assembling filtered run lengths, generating top silhouette, and thresholding the gradient of the top silhouette to extract one

和音

Adding geometric constraints to the vectorization of line drawings,) of systems for solving this type of recognition problem and propose a solution that identifies and localizes graphical primitives. We claim that geometric constraints should be brought into the vectorization process and we give details on how we combine the vectorization and a constraint fitting f

locus-ceruleus

Quantitative measurement of the performance of raster-to-vector conversion algorithms,ing image analysis systems, comparison of several algorithms is often required. Unfortunately, many methods of comparison do not give quantitative performance measurements, but rather qualitative, and often subjective, evaluations. Our key observation is that there is a need for domain, or task-depe

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