VHR IMAGE SEGMENTATION USING OVER SEGMENTED REGIONS IN A MRF MODEL

Date

2011-07-29

Author

Aytekin, Orsan
Rezaeitabar, Yousef
Ulusoy, İlkay

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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This paper presents a segmentation method that exploits object based region merging to delineate the context of the image under investigation. There are two main steps. Initially, primitive objects are obtained by morphological operations that generate spectrally homogenous primitives. We assume that primitives are components of semantic objects that are of interest. Next, these primitives therefore are modeled and merged based on expectation maximization. We presented the results of the experiments applied to QuickBird images of rural and urban areas taken from the city of Ankara, Turkey. Experimental results demonstrate the capabilities of these methods along with their limitations.

Subject Keywords

Differential morphological profile (DMP), Expectation maximization, Segmentation

URI

https://hdl.handle.net/11511/42426

DOI

https://doi.org/10.1109/igarss.2011.6049203

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

O. Aytekin, Y. Rezaeitabar, and İ. Ulusoy, “VHR IMAGE SEGMENTATION USING OVER SEGMENTED REGIONS IN A MRF MODEL,” 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42426.