【摘要】 在目标识别中,使用光的偏振特性来区分场景中的目标,可以有效地减小图像杂乱背景所带来的影响。但由于直接由原图像获取的偏振图像灰度值偏小,图像较暗,因此需要对偏振图像做进一步处理。选用gamma校正对偏振图像进行了灰度处理,得到了比原图清晰的图像。当参数选取为0.3时,其信息熵、平均梯度值明显改善。更多还原

【Abstract】 In the field of target recognition,the influence of clutter can be reduced by using optic polarization to recognize the objects.The pixels acquired directly by the source images are so small that further prcessing is necessary.The much clearer image is achieved by using gamma correction to process the polarization image.When the parameter is 0.3,the value of entropy,average grads and the entropy error rate are obviously improved.更多还原