There are many methods for detection of point-like features in gray-leveled bitmap images. The problem of defining a\nthreshold for acceptance or rejection of the results is usually neglected or left to experts. In this paper, a novel method\nof estimating suboptimal detection threshold values is proposed. It is based on overlapping the results of two or three\ndifferent methods parametrized with respective thresholds. The quality functions (of two or three variables), whose\nglobal extrema (maximum) approximately correspond to the suboptimal levels of thresholds for the used methods,\nare defined. This method was applied to a series of the bitmaps generated by a radar sensor and by simulated bitmaps.
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