Scene segmentation is the basis of autonomous robots environmental understanding. For scene objects show different color characteristics aggregation in the mobile service robot operating indoor environment, this thesis proposes a scene segmentation method based on color layering and Multi-Size filtering. This paper slices the scene by constructing the color layering model and then designs the multi-size filter, which is designed according to the results of detecting the numbers and size of the connected domains in one layer, to segment the target. This paper also builds a robot operating system and the experiments of global environment and local scene are constructed with an average accuracy of scene segmentation and hierarchical, respectively, reaching 96.2 and 92.5 %. The results show that the method can effectively segment the scenes with salient color features.
CITATION STYLE
Zhang, X. D., Zhao, Q. J., Meng, Q. X., Tu, D. W., & Yi, J. G. (2017). A new scene segmentation method based on color information for mobile robot in indoor environment. In Lecture Notes in Electrical Engineering (Vol. 399, pp. 353–363). Springer Verlag. https://doi.org/10.1007/978-981-10-2404-7_28
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