Using Operators of Morphological Mathematic for Processing Smeared Image of Camera without Shutter

Mathematics – Logic

Scientific paper

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Space Vehicles, Technique: Image Processing

Scientific paper

In observations of space objects, the shutter of camera is often removed and hence the smear noise is ineluctable. Smear noise brings in difficulties on target detection and location calculation, so it must be handled properly. Based on the differences of geometry between stars and smear noise, two operators (TopHat and Spread TopHat) of morphological mathematic are presented to resolve this problem. They're sufficiently flexible to be applied. Tests carried out indicate that smear noise can be removed effectively, and detection rate of objects and stars is improved distinctly. Through the compare of position accuracy of stars and objects, it's demonstrated that both two operators work with a high degree of location precision, and Spread TopHat has a better performance when dealing with stars. At last, the efficiency of methods is proved.

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