Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract. Designoffusionruleisanimportantstepinfusionprocess.Traditionalsinglefusionrulesareinflexiblewhen they are being used to fuse feature-rich images. To address this problem, an adaptive multistrategy imagefusionmethodisproposed.Itsflexibilityliesinthecombinationofachoose-maxstrategyandaightedaveragestrategy. Moreover, the region-based characteristics and the shift-invariant shearlet transform (SIST)-basedactivity measures are proposed to guide the selection of strategies. The key points of our method are:(1) Window-based features are extracted from the source images. (2) Use of the fuzzy c-means clustering algo-rithm to construct a region map in the feature difference space. (3) The dissimilarity beten correspondingregions is employed to quantify the characteristic of regions and the local average variance of the SIST coef-ficients are considered as activity measures to evaluate the salience of the related coefficient. (4) The adaptivemultistrategy selection scheme is achieved by a sigmoid function. Experimental results show that the proposedmethodissuperiortotheconventionalimagefusionmethodsbothinsubjectiveandobjectiveevaluations.
['Xiaoqing Luo', 'Zhancheng Zhang', 'Xiaojun Wu']
I am writing a research paper on a idea Adaptive multistrategy image fusion method
[{"from": "human", "value": "I am writing a research paper on a idea Adaptive multistrategy image fusion method"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract. Designoffusionruleisanimportantstepinfusionprocess.Traditionalsinglefusionrulesareinflexiblewhen they are being used to fuse feature-rich images. To address this problem, an adaptive multistrategy imagefusionmethodisproposed.Itsflexibilityliesinthecombinationofachoose-maxstrategyandaightedaveragestrategy. Moreover, the region-based characteristics and the shift-invariant shearlet transform (SIST)-basedactivity measures are proposed to guide the selection of strategies. The key points of our method are:(1) Window-based features are extracted from the source images. (2) Use of the fuzzy c-means clustering algo-rithm to construct a region map in the feature difference space. (3) The dissimilarity beten correspondingregions is employed to quantify the characteristic of regions and the local average variance of the SIST coef-ficients are considered as activity measures to evaluate the salience of the related coefficient. (4) The adaptivemultistrategy selection scheme is achieved by a sigmoid function. Experimental results show that the proposedmethodissuperiortotheconventionalimagefusionmethodsbothinsubjectiveandobjectiveevaluations."}]