Multi-threshold Object Selection in Remote Sensing Images

The problem of selection of objects of different nature in digital monochrome images obtained by remote observation systems is considered. Novel schemes of multi-threshold image analysis and object selection of with the threshold adjustment based on the selection results are proposed. Algorithms for multi-threshold selection of objects by their areas as well as other scale-invariant geometric criteria, such as the perimeter and main axis elongation coefficients are proposed and evaluated. Results of standard model images analysis acting as a testbed as well as real-world images obtained by television and infrared remote systems are considered.

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