创作 发表于 2025-3-30 11:10:42
https://doi.org/10.1007/978-3-030-49520-6hic information system (GIS). Manual map digitization requires intensive user effort and cannot handle a large number of maps. Previous approaches for automatic map processing generally require expert knowledge in order to fine-tune parameters of the applied graphics recognition techniques and thusPepsin 发表于 2025-3-30 16:20:11
https://doi.org/10.1007/978-3-319-78677-3is paper presents the use of geometric matching for symbol recognition under similarity transformations. We incorporate this matching approach in a complete symbol recognition/spotting system, which consists of denoising, symbol representation and recognition. The proposed system works for both isol拥挤前 发表于 2025-3-30 20:15:06
http://reply.papertrans.cn/39/3882/388121/388121_53.pngarchetype 发表于 2025-3-31 00:08:15
https://doi.org/10.1007/978-3-531-90999-8ose a solution including 3 phases: (1) Image segmentation, (2) component-level shape matching, and (3) structure matching. To improve the robustness, we alter the parameters to obtain image segmentation at multiple scales and perform component-level template matching across the image segmentation re主动脉 发表于 2025-3-31 04:46:19
http://reply.papertrans.cn/39/3882/388121/388121_55.pngDebark 发表于 2025-3-31 06:21:13
https://doi.org/10.1007/978-94-009-2486-4allenging task for approaches based on grouping structural primitives obtained by vectorization. Recently, a patch-based segmentation method working at pixel level and relying on the construction of a visual vocabulary has been proposed in , showing its adaptability to different notations by auto系列 发表于 2025-3-31 11:50:11
Multilingual Dictionary of Agronomic Plantshat the order of writing is not defined. Some statistical approaches have been proposed in the literature to label and segment the flowcharts. However, as they are very well structured documents, we propose to introduce some structural and syntactic knowledge on flowcharts to improve their recogniti会议 发表于 2025-3-31 14:21:18
Carol Peters,Martin Braschler,Paul Cloughoise points of handwriting trajectories, we introduce a de-noising approach by using dilation, erosion, thinning operators of the mathematical morphology. Selecting appropriate structuring elements, we can clear up large amounts of noises in the glyphs of the character. To enhance the recognition pehermitage 发表于 2025-3-31 17:44:38
http://reply.papertrans.cn/39/3882/388121/388121_59.pngfluffy 发表于 2025-3-31 21:55:27
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