CAJ | 학술논문

针对视觉注意模型中不同特征在特征整合阶段的权值判定,提出了一种基于显著区域分布的权值估计方法。在Itti-Koch视觉注意计算模型的基础上,不同于平均权值的方法,通过计算各个特征图显著区域的分布、位置、个数,计算权值整合特征图。实验结果表明,该方法得到的显著图能更好地模拟人眼的观测结果。
침대시각주의모형중불동특정재특정정합계단적권치판정,제출료일충기우현저구역분포적권치고계방법。재Itti-Koch시각주의계산모형적기출상,불동우평균권치적방법,통과계산각개특정도현저구역적분포、위치、개수,계산권치정합특정도。실험결과표명,해방법득도적현저도능경호지모의인안적관측결과。
According to the different of features during feature integration process in modeling of visual attention,a method of weight estimation for different features is presented .Unlike the average weighted method in Itti-Koch model.Weight estimation and feature integration is estimated according to the number, the position, the distribution of each saliency area.The experimental results demonstrate that the processed method outperforms traditional method to meet the requirement of observers.