Study on location technique for ICF experiment targets

Due to the Hough transform can be easily influenced by annular texture in locating the ICF Inertial Confinement Fusion experiment target circle centers, SIFT (Scale Invariant Feature Transform) algorithm based on feature matching is proposed to detect the circle center. The ratio of the feature min-distance and the second-min distance is replaced by the ratio of their absolute value of difference and the min-distance in the improved feature matching method. This enhances its adaptability to the illumination change. Based on a series of experiments on the standard circle images and the ICF target images, the results show that in the same location precision, the SIFT algorithm's stability is better than that of the Hough transform. The SIFT algorithm can also keep stability under the affine transform, noisy pollution, image rotation, and illumination transform, etc.