双色中波红外图像的分割支持度变换融合

FUSION OF DUAL COLOR MWIR IMAGES BASED ON SEGMENTATION AND SUPPORT VALUE TRANSFORM

提出了基于形态学分割和支持度变换的双色中波红外图像的融合方法.通过腐蚀膨胀操作、加权叠加实现两幅细分波段图像的局部处理,消除了第一细分波段图像的太阳照射饱和区,然后利用支持度变换对图像进行融合,将两幅图像的细节信息综合起来,使图像更清晰.实验结果表明:同小波包变换融合方法相比,经本文算法融合后的图像有效消除了太阳照射造成的饱和区,太阳影响参数降低了60.05%,局部标准偏差和局部粗糙度分别增加了2.59%和3.39%,处理时间缩短了66.77%,证明了融合方法的有效性.

Fusion method of subdivision band images of mid-wave infrared is presented based on both morphology processing and support value transform（SVT）.Local process of two subdivision band MWIR images is implemented with erosion,dilation and weighted stacking method,in order to eliminate saturating regions in the first subdivision band image that are formed by sun irradiation.Fusion between local processed image and the second subdivision band image is achieved by SVT,in order to combine detailed information of two images and to get legible results.The experimental results show that the saturating regions of image obtained by proposed method,compared with image fused by wavelet packet transform,are removed effectively.The sun effect parameter decreased by 60.05%,local standard deviation and local coarseness increased by 2.59% and 3.39% respectively,and elapsed time decreased by 66.77%.The validity of fusion method proposed is proved.