Research on Laser Image Segmentation Algorithm Based on Improved Neural Network

摘要：

　　Aiming at the problems of laser image segmentation,this paper proposes an improved neural network laser image segmentation algorithm.The traditional BP neural network algorithm is improved.The paper discusses the principle of this method and also focuses on the specific process.In order to verify the correctness and effectiveness of the method,a series of comparative tests were conducted.The test results show that compared with the traditional laser image segmentation method,the method used in the paper has been greatly improved in both segmentation accuracy and segmentation efficiency.

关键词： Laser Image Improved Neural Network Image Segmentation

作者: Gao Ke

作者单位: Nanchang University of Arts and Science,Nanchang,330004,China

会议类型: 国际会议

会议名称: 2018 International Conference on Computational Science and Engineering (ICCSE 2018))(2018年国际计算科学与工程会议)

会议地点: 青岛

会议语种:英文

页码: 153-157

在线出版日期: 2018-11-03（万方平台首次上网日期，不代表论文的发表时间）