Research on Semantic Annotation Based Image Fusion Algorithm
Jingxiu Ni, Qian Xu, Qing Li, Xinkai Xu · 2017 International Conference on Computer Systems, Electronics and Control (ICCSEC) · 2017
There exists semantic gap between the user demand and the image fusion process. In order to solve the problem, a semantic labeling model of images is proposed and an image fusion mechanism based on semantic annotation is presented. The fusion mechanism is based on the semantic similarity of concepts. Experimental results show that the image fusion mechanism can improve the efficiency of image fusion.