Abstract
This article considers two-stage segmentation method for context-sensitive image analysis. We represent a combination of two methods: pyramidal segmentation and Grabcut. The results of the pyramidal segmentation are used for the Grabcut as input data. The resulting regions should be used for further detailed recognition. In conclusion shows the comparative results of pyramidal segmentation, Grabcut segmentation and two-stage segmentation.
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Alekseev, A.V., Orlova, Y.A., Rozaliev, V.L., Zaboleeva-Zotova, A.V. (2014). Two-Stage Segmentation Method for Context-Sensitive Image Analysis. In: Kravets, A., Shcherbakov, M., Kultsova, M., Iijima, T. (eds) Knowledge-Based Software Engineering. JCKBSE 2014. Communications in Computer and Information Science, vol 466. Springer, Cham. https://doi.org/10.1007/978-3-319-11854-3_28
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DOI: https://doi.org/10.1007/978-3-319-11854-3_28
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