Characters recognition in natural images is a challenging problem, as it involves segmenting characters of various colours on various background. In this article, we present a method for segmenting images that use a colour perception graph. Our algorithm is inspired by graph cut segmentation techniques and it use an edge detection technique for filtering the graph before the graph-cut as well as merging segments as a final step. We also present both qualitative and quantitative results, which show that our algorithm perform at slightly better and faster to a state of the art algorithm.
CITATION STYLE
Berger, C. (2014). Colour perception graph for characters segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8888, pp. 598–608). Springer Verlag. https://doi.org/10.1007/978-3-319-14364-4_58
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