计算机应用与软件2016，Vol.33Issue(9)：171-175,5.DOI:10.3969/j.issn.1000-386x.2016.09.041
基于生物视觉机制的图像感兴趣区域快速获取方法研究
A FAST IMAGE’S REGION OF INTEREST ACQUISITION METHOD BASED ON BIOLOGICAL VISION MECHANISM
摘要
Abstract
In order to acquire image’s region of interest quickly and accurately,it is necessary to simulate the whole process of biological vision mechanism from macroscopic visual channel to micro visual nerve cells.First,in hypercomplex Fourier transform (HFT)model which simulates the macroscopic visual “where”channel,in order to highlight the salient objects in images,we add background channel to inhibit the background information;Secondly,we expand HFT model by pulse coupled neural network (PCNN)which simulates the biological visual neurons:taking the salient map obtained by the improved HFT as the input image of simplified PCNN and taking the advantage of minimum cross entropy to segment the region of interest.Experimental results show that the accuracy of the proposed region of interest acquisition algo-rithm achieves 98.1%,and the extraction time is 5.732 s,so it can acquire the region of interest quickly and accurately.关键词
视觉注意模型/HFT/PCNN/感兴趣区域Key words
Visual attention model/Hypercomplex/Fourier transform(HFT)/Pulse coupled neural network (PCNN)/Region of interest分类
信息技术与安全科学引用本文复制引用
刘尚旺,胡剑兰..基于生物视觉机制的图像感兴趣区域快速获取方法研究[J].计算机应用与软件,2016,33(9):171-175,5.基金项目
国家自然科学基金项目（U1304607）；河南省教育厅高等学校重点科研项目（15A520080）；河南师范大学博士科研启动基金项目（qd12138）。 （）
