Download Graphics Recognition. New Trends and Challenges: 9th by Klaus Broelemann, Xiaoyi Jiang (auth.), Young-Bin Kwon, PDF

By Klaus Broelemann, Xiaoyi Jiang (auth.), Young-Bin Kwon, Jean-Marc Ogier (eds.)

This publication constitutes the completely refereed post-conference complaints of the ninth foreign Workshop on portraits reputation (GREC 2011), held in Seoul, Korea, September 15-16, 2011. The 25 revised complete papers offered have been rigorously chosen from a number of submissions. pix acceptance is a subfield of record snapshot research that bargains with graphical entities in engineering drawings, sketches, maps, architectural plans, musical rankings, mathematical notation, tables, and diagrams. hence the convention papers are prepared in five technical classes, overlaying the themes corresponding to map and historic files, image and emblem acceptance, cartoon and drawings, functionality assessment and problem processing.

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Extra info for Graphics Recognition. New Trends and Challenges: 9th International Workshop, GREC 2011, Seoul, Korea, September 15-16, 2011, Revised Selected Papers

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The rest of the paper is organized as follows: Section 2 presents the related work. Section 3 describes the proposed recognition system. Section 4 presents the performance evaluation, and Section 5 concludes the paper. 2 Related Work Isolated symbol recognition approaches can be classified into structural [2], [5], [15], statistical [6], [12], [13], [16] and hybrid [3], [11] approaches. We review here the ones that use geometric techniques, whether for feature extraction or for matching and recognition.

As with many other recent approaches, the described extraction procedures from Itonaga et al. [2003], Chanda [2006], and Raveaux et al. [2008] have limited applicability to other map series or types and require expert knowledge for parameter tuning. Fig. 1. A sample USGS historical topographic map 3 Methods: Road Vectorization from a Historical USGS Topographic Map We demonstrate our approach using a road vectorization example. Figures 1 shows a sample USGS historical topographic map. Typical problems existed in old maps (and can be seen here too) that limit the graphical image quality are bleaching and blurring effects as well as mixed or false coloring as consequences of archiving paper material and scanning procedures.

Lladós, J. ) GREC 2009. LNCS, vol. 6020, pp. 231–241. : Colors of the Past: Color Image Segmentation in Historical Topographic Maps Based on Homogeneity. : Extracting Composite Cartographic Area Features in Low-Quality Maps. : Impact of data integration technique on historical land-use/land-cover change: Comparing historical maps with remote sensing data in the Belgian Ardennes. : Object extraction from colour cadastral maps. In: Proceedings of the IAPR Document Analysis Systems, pp. 506–514 (2008) On the Use of Geometric Matching for Both: Isolated Symbol Recognition and Symbol Spotting Nibal Nayef and Thomas M.

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