基于自适应滑动窗口的双色中波红外图像融合方法研究

The Study on Fusion Method of Dual-color MWIR Images Based on Adaptive Sliding Window

基于滑动窗口的图像处理方法具有抗干扰能力强、突出图像局部信息等特点,在图像处理领域得到广泛应用。针对最优窗口大小的选择问题,提出了一种自适应尺寸的滑动窗口方法。该方法首先对作用图像进行边缘检测,然后采用固定区域顶点的方式,根据该区域所含边缘的数量,自适应地放大滑动窗口尺寸,直到区域中的边缘数量大于某一阈值为止。并将这种自适应滑动窗口引入双色中波红外图像差异特征驱动的融合模型中,仿真结果表明,改进后的融合模型与原始模型及传统融合方法相比,融合效果在主观观察和客观评价中均有显著提高。

Image processing method with sliding window has anti-interference ability, and can also enhance image local information. Therefore, sliding window method is widely used in the field of image processing. In order to overcome the problem of selecting optimal size of windows, a new method of applying sliding window with adaptive size is presented. The method firstly detects the edge of functionary images, then fixes region vertex to adaptively magnify the sliding window based on number of edges contained in the region, until the number of edges in the region is greater than a given threshold value. Besides, the adaptive sliding window is introduced into the fusion model driven by discrepant features of Dual-color MWIR images. Simulation results show that the modified fusion model can obtain significantly improved fusion effects both in subjective perception and objective evaluation compared to the original model and the traditional fusion methods.