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The paper presents different approaches in improving the digital image acquisition with focus on shape recognition. The study is part of a larger project focused on image pre-processing optimization in order to obtain a higher efficiency of automated features recognition. The final target would be to use the results in the field of number plate recognition in road traffic. Structured in two main sections,...
Several applications require information about street furniture. Part of the task is to survey all traffic signs. This has to be done for millions of km of road, and the exercise needs to be repeated every so often. A van with 8 roof-mounted cameras drove through the streets and took images every meter. The paper proposes a pipeline for the efficient detection and recognition of traffic signs. The...
With this enormous speed in generating and collecting images, there is an extreme need in extracting interesting and useful knowledge from image archives. In our previous works, we have proposed an image mining framework to extract knowledge from a sequence of images. The framework is composed of two main modules: image analysis and knowledge processing. In this paper, we successfully customized the...
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