Two-Stage Segmentation Method for Context-Sensitive Image Analysis

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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. © Springer International Publishing Switzerland 2014.

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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 Communications in Computer and Information Science (Vol. 466 CCIS, pp. 331–340). Springer Verlag. https://doi.org/10.1007/978-3-319-11854-3_28

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