Weight strategy aided infrared and visible image fusion utilizing the center operator from opening and closing based toggle operator

Fusion of infrared and visible images is an effective way for image analysis. The crucial factor of the fusion is extracting and combing the image features of original images. In this paper, an effective algorithm for infrared and visible image fusion utilizing a center operator is proposed. The center operator constructed from opening and closing based toggle operator is used to extract the multi-scale features of original images. After that, the final fusion features are calculated from these extracted multi-scale features through a weight strategy. The weight strategy is based on the entropy and gradient information of the extracted features, which is an effective way for integrating the information of the original images. Finally, the fusion image is produced by adding the final fusion features with the average image of original images. Experimental results of different types of infrared and visible images indicate that, the proposed algorithm performs effectively for infrared and visible image fusion.