The paper proposes an image retrieval algorithm based on image fusion .The algorithm regards RFGAIR and image fusion tech-nology as its foundation , utilizes image fusion technology , and during the retrieving feedback process , according to user requirements , dynam-ically modifies query vector .Compared with existing retrieval algorithms , experiment results demonstrate that the novel algorithm promotes the query precision rate and reduces feedbacks;meanwhile , since image fusion technology is applied to adjusting retrieval vector , the novel algo-rithm is more efficient at querying than RFGAIR .%提出一种基于图像融合的图像检索算法。算法以RFGAIR和图像融合技术为基础,利用图像融合技术,在检索反馈过程中,根据用户需求动态修正查询向量,同时结合遗传算法,动态修正图像相似度模型。与现有检索方法相比,实验结果表明,算法具有较高查准率和减少反馈次数;同时,将图像融合技术用于调整检索向量,使得算法比RFGAIR具有更高的查询效率。
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