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Laser interference effect evaluation method based on character of laser-spot and image feature

机译:基于激光斑和图像特征的激光干扰效应评估方法

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Evaluating the laser interference effect to CCD objectively and accurately has great research value. Starting from the change of the image's feature before and after interference, meanwhile, considering the influence of the laser-spot distribution character on the masking degree of the image feature information, a laser interference effect evaluation method based on character of laser-spot and image feature was proposed. It reflected the laser-spot distribution character using the distance between the center of the laser-spot and center of the target. It reflected the change of the global image feature using the changes of image's sparse coefficient matrix, which was obtained by the SSIM-inspired orthogonal matching pursuit(OMP) sparse coding algorithm. What's more, the assessment method reflected the change of the local image feature using the changes of the image's edge sharpness, which could be obtained by the change of the image's gradient magnitude. Taken together, the laser interference effect can be evaluated accurately. In terms of the laser interference experiment results, the proposed method shows good rationality and feasibility under the disturbing condition of different laser powers, and it can also overcome the inaccuracy caused by the change of the laser-spot position, realizing the evaluation of the laser interference effect objectively and accurately.
机译:客观准确地评估激光干扰效应对CCD具有很大的研究价值。从干扰前后的图像特征的变化开始,同时考虑激光 - 点分布特征对图像特征信息的掩蔽程度的影响,基于激光斑和图像特征的激光干扰效应评估方法提出了特征。它使用激光斑点和目标中心之间的距离反射激光斑点分布特征。它反映了使用图像的稀疏系数矩阵的变化来改变全局图像特征,该稀疏系数矩阵由SSIM激发的正交匹配追踪(OMP)稀疏编码算法获得。更重要的是,评估方法使用图像的边缘清晰度的变化反映了本地图像特征的变化,这可以通过图像的梯度幅度的变化来获得。连合在一起,可以准确地评估激光干扰效果。就激光干涉实验结果而言,该方法在不同激光功率的令人不安的条件下表现出良好的合理性和可行性,并且还可以克服激光点位置的变化引起的不准确性,实现了激光的评价干扰效应客观准确。

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