摘要
随着计算机技术的飞速发展和进步,图像数据得到急剧的上升,如何高效的获取图片信息是现如今计算机所需要解决的重要问题,因此视觉研究领域中的显著性检测研究成为一大研究热点。本文将详细的介绍图像显著性检测算法如何高效获取图像的信息。首先对显著性检测算法模型进行相应的介绍,其次从自底向上的角度对基于不同特征的显著性检测算法进行详细介绍,然后对这些算法进行实验仿真并对结果进行对比分析,最后通过对已有的显著性检测算法进行对比分析得出相应的结论,从而对未来的显著区域检测方向进行展望。
With the rapid development and advancement of computer technology,image data has risen sharply. How to efficiently obtain image information is an important issue that computers need to solve. Therefore,significant research in visual research has become a research hotspot. This article will introduce in detail how the image saliency detection algorithm can efficiently obtain image information. Firstly,the saliency detection algorithm model is introduced accordingly. Secondly,from the bottom-up perspective,the saliency detection algorithms based on different features are introduced in detail. Then the experimental simulations of these algorithms are performed and the results are compared and analyzed. Some saliency detection algorithms perform comparative analysis and draw corresponding conclusions,thereby prospecting future significant detection directions.
作者
宣东东
汪军
XUAN Dong - dong, WANG Jun(School of Computer and Information Science, Anhui Polytechnic University, Wuhu 241000, China)
出处
《宜春学院学报》
2018年第9期50-55,共6页
Journal of Yichun University
基金
安徽省重点研究与开发计划科技预警项目(1604d0802002)
高校省级自然科学重点研究项目(KJ2015A311)
