An Improved LC Visual Attention Detection Algorithm

Image visual attention detection is a hot research topic in recent years and an important research direction in the field of computer vision. An excellent image visual attention detection algorithm will greatly improve the accuracy of subsequent image segmentation, target recognition, and image retrieval so that we can have a more comprehensive and accurate understanding of the target contained in the image. This paper in view of LC image attention detection algorithm without considering the spatial information of image pixels places saliency map, this paper proposes an improved LC image attention detection algorithm, the method fully considers the pixel grayscale contrast and the spatial distance of saliency map, and the influence of the mathematical model is established for each pixel point distribution of the significance of exclusive value. Finally, we used MATLAB to program the algorithm and tested the algorithm on MSRA 10K, the test set of public image data. The experimental results showed better performance than LC algorithm, which proved that our idea was effective.