Signal Area Extraction in Range-gated Images using Average Gray Value Information

摘要

This paper presents a novel algorithm to extract signal area of range-gated images under the EBE effect. Besides the histogram information, this algorithm uses average gray value information to select threshold with iterative processing. With average gray value information, the edges of signal area can be segmented out accurately. The algorithm can handle images under the impact of EBE effect, reduce the noise in the images and segment the objects from the noise area effectively without many morphological operations which keeps the certain figure from distortion. Experiment result shows that the algorithm is effective to the signal areas extraction of images under EBE effect, signal areas can be segmented out accurately.