【摘要】 针对图像显著区域检测的特点,提出像素基因算法。首先在基因模型中把基因单元映射为图像区域;接着基因表达值把基因分类,对图像某个特征值图像区域产生的不确定信息的熵统计期望值,计算特征值减少系统熵值的不确定性的能力;最后采用基因相对称的邻接矩阵统计区分为显著、非显著区域。实验仿真结果显示本文算法对图像特征提取丰富,召回率、准确率较高。更多还原

【Abstract】 Aiming at the characteristic of salient region detection,pixel genetic algorithm is proposed.Firstly,the genetic units are mapped to image region in the genes model.Then the genes is classified by using gene expression,expectation value is counted for the uncertain information entropy,and the uncertainty ability that characteristic values reduce system entropy is calculated.Finally,salient regions and non salient regions are divided by using the adjacency matrix statistic,which the gene distribution is symmetrical.Simulation results show that the algorithm can sufficiently extract image features,and has a higher retrieval rate and accuracy.更多还原