Abstract
Based on the mathematical morphological image analysis theory, the research has established a kind of description method about the character parameters of linkage curves which is not associated with the graphic’s location, scale and rotation. The research has summarized the internal relationships between the types of linkage curves and their corresponding shape spectrums, and proposed a new idea that the narrow degree of a linkage curve graphic determines its position of the shape spectrum’s crest. Furthermore, for two linkage curves, their similarity function value mainly depends on the distance between their shape spectrums’ crests. According to that, the linkage curve regional electronic atlas that is divided into several characteristic regions of linkage curves is constructed. This kind of electronic atlas can bring some advantages. For instance, it has a higher inquiry and recognition speed of similar linkage curves, and can reduce the data redundancy and so on.
The research is supported by Hebei Education Department (grant No.:2007119).
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Feng, L., Liu, T., Li, X., Tian, M. (2010). Recognition of Linkage Curve Based on Mathematical Morphology. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Lecture Notes in Computer Science, vol 6377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16167-4_60
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DOI: https://doi.org/10.1007/978-3-642-16167-4_60
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