关键词: 图像检索, 分块加权, 视觉注意机制, Sobel算子, 色差直方图

Abstract: In the view of image retrieval, this paper proposes a new block weighted image retrieval method based on visual features. According to visual attention mechanism, this paper divides the image into several non-uniform blocks, and sets different weights to extract visual features of each block. Firstly, Sobel operator is used to obtain the edge of the image to calculate the color difference histogram of color and edge orientation. Meanwhile, this paper defines a structure which combines color and edge orientation and uses histogram to represent it. Moreover, the histogram of each block is connected to generate the feature vector of an image for retrieval. This paper carries out the experiments on benchmark Corel image database, and the extensive experiments demonstrate that the proposed method achieves better retrieval performance in comparison with state of the art image retrieval algorithms.

Key words: image retrieval, block weighted, visual attention mechanism, Sobel operator, color difference histogram