基于仿生形象思维方法的图像检索算法的改进

Improvement of an image retrieval algorithm based on biomimetic imaginal thinking

基于仿生形象思维方法的图像检索算法主要是模仿人脑的形象思维对图像认知,从全新角度提取图像特征而设计的一种新算法。此算法把每幅图像都映射成高维空间一个点,通过计算点和点之间的判别函数得到图像之间的关系。该文利用最直接地描述图像内容的视觉特征,即颜色复杂度来提取图像特征,对基于仿生形象思维方法的图像检索算法做进一步研究与改进。实验结果表明该方法比文献[1]基于仿生形象思维方法的图像检索算法的特征提取方法效果有一定的提高。

In this paper,a novel image retrieval algorithm based on biomimetic imaginal thinking is used for image cognition by imitating human brain＇s imaginal thinking and extracting image features from a different perspective.This algorithm maps every image onto a point in the high dimension space,deriving the relations of two images by calculating the discriminant function between the two points. The visual features that can describe image content directly,i.e. color complexity are used to extract image features,in order to improve the image retrieval algorithm based on biomimetic imaginal thinking. The experimental results showed that the performance of this algorithm is better than that of the algorithm proposed by reference [1].