【摘要】 为提高医学图像的检索结果,提出一种基于改进人工鱼群算法的医学图像相关反馈检索方法 (ISAFA)。提取医学图像的颜色、纹理、形状特征,采用相似度量模型得到图像初步检索结果,根据用户的反馈信息,采用改进人工鱼群算法对特征权值进行调整,以获得更加理想的检索结果。检索结果表明,ISAFA提高了医学图像的检索准确率和检索效率,可以找到满足用户需要的医学图像。更多还原

【Abstract】 To improve the retrieval accuracy of medical images,a medical image retrieval method based on the improved artificial fish swarm algorithm optimizing the weights of features was proposed.Firstly,the color,the texture and the shape of medical images were extracted,and then the similarity measurement model was used to obtain the preliminary retrieval results.Finally,the improved artificial fish swarm algorithm was used to adjust the weights of features according to the feedback information of users to improve the image retrieval accuracy.The results show that,compared with other medical retrieval methods,the proposed method can improve the retrieval accuracy and efficiency of medical images,so it can accurately find the medical image required by the user.更多还原