| Summary: | 碩士 === 國立臺灣科技大學 === 電機工程系 === 90 === The adjustment for radar is a necessary job in radar tracking and orientation. This thesis proposes several algorithms for star image recognition. The purpose is to adjust the oriental deviation of the radar caused by mechanical errors. The current method is to calculate the centroid position of a star image. When the lights of the star pass through the cameras or telescopes, due to diffraction effects, luminosity of the center of the star is decreased. If the centroid of the image is calculated directly, the results may be unreliable. The proposed method first is to convert the image into a binary image, and then to use a new thinning algorithm to reduce the image to a few pixels. Finally, a method is used to calculate the centroid of those pixels. Since the obtained location of the star is very noisy, we further propose to use a “circle” regression approach to filter those errors in a sequence of the location trajectory.
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