基于红外图像帧关联的自动阈值分割方法

针对目前单帧图像阈值分割中分割易受突变影响、目 标背景分割不明显以及分割效果较差等问题，提出了一种基于红外图像帧关 联的自动阈值分割方法。该方法利用自动阈值分割法简单分割单帧图像，然 后根据图像帧关联信息对图像进行分组处理，再对每帧图像进行权重分配，最 终确定每帧图像的分割阈值，以提高分割的抗干扰性，改善分割效果。通过理 论分析和实验仿真验证了该算法的有效性和可行性，并将其与其他算法进行了 对比实验。实验结果表明，本文提出的分割算法的抗干扰性较强，能够将目标 图像从背景中清晰地分割出来，具有更好的分割效果和更强的应用性。

Automatic Threshold Segmentation Method Based on Infrared Image Frame Association

In the current single-frame image threshold segmentation, the segmentation is susceptible to mutations, the background segmentation is not obvious and the segmentation effectiveness is poor. To solve these problems, an automatic threshold segmentation method based on infrared image frame association is proposed. Firstly, the automatic threshold segmentation method is used to segment a single-frame image simply. Secondly, the image is processed group by group according to the frame-related information. Then, the weights are assigned to each frame. Finally, the segmentation threshold of each frame is determined to improve the anti-interference and segmentation effectiveness. The validity and feasibility of the method are verified through theoretical analysis and experimental simulation. Compared with other algorithms, the proposed method is stronger in anti-interference ability. It can segment the target image clearly from the background and has better segmentation effectiveness and applicability.