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.
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