Research on Underwater Polarization Image Segmentation Inspired by Biological Optic Nerve

摘要：

　　Due to effects of the light by water and other particles,the quality of underwater image will degrade.The traditional underwater image segmentation methods based on intensity and spectrum have difficulty in determining boundary.Inspired by the visual system of mantis shrimps,this paper constructed a feedback neural network model,in which the parameters were optimized using machine learning method.Based on this model,we combine the polarization and intensity information to achieve the underwater polarization image segmentation.The results of experiment prove that the neural network model designed in this paper can improve the accuracy of underwater image segmentation.

关键词： underwater polarization image segmentation optic nerve of mantis shrimps feedback neural network model parameters optimization

作者: Huibin Wang Yurong Wu Jie Shen Zhe Chen

作者单位: College of Computer and Information Engineering Hohai University Nanjing,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 2647-2651

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）