【摘要】 在超微弱发光的研究中 (例如生物发光 ) ,由于发光强度极弱 ,由像增强器得到的光子图像由于样本 (光子 )数量太少和受系统暗噪声的影响使其信噪比极低。提出了一种基于统计学的光子图像相关积分方法和基于相关处理的光子图像处理方法 ,用累积光子来提高图像信噪比并得到相应灰度图像并对该方法进行了计算机模拟 ,同时展示了光子图像和传统灰度图像的信噪比关系 ,是进行微弱生物发光信号检测的有效方法更多还原

【Abstract】 In study of ultraweak luminescence (wuch as bioluminescence) the weakness of luminescence or the lack of samples (photons) and the influence of system dark noise causes low SNR in photon images acquired by image intensifier. It is proposed that a photon image correlation integral method based on statistics and a photon image processing method based on correlation processing. The method accumulates photon image to get enhanced SNR grey scale image. A computer simulation method is developed to illustrate the process. This method also illustrates the SNR relation between photon image and traditional grey scale image and provides an effective way for detecting ultraweak bioluminescence.更多还原