安徽农业科学2018，Vol.46Issue(3)：6-7,70,3.
基于鸡群优化算法的点云简化算法在粮堆检测中的应用
Application of Point Cloud Simplification Algorithm Based on Chicken Swarm Optimization in Measurement of Stored Bulk Grain
摘要
Abstract
We introduced a chicken swarm optimization (CSO) into average distance method,proposed an adaptive simplification algorithm based on CSO,and verified the validity of the algorithm by using the 3D point cloud scanning granary grain surface.The results showed as followed:compared with the average distance method,this algorithm had more uniform distribution of the point set,larger estimated speed and higher capacity precision.Due to the good performance of the simplified and reduce update the interval ability,this algorithm and the 3D laser scanner can detect the volume of grain warehouse.关键词
鸡群优化/点云/被存储的粮食Key words
Chicken swarm optimization/Point cloud/Stored bulk grain分类
农业科技引用本文复制引用
史旭栋,高岳林..基于鸡群优化算法的点云简化算法在粮堆检测中的应用[J].安徽农业科学,2018,46(3):6-7,70,3.基金项目
国家自然科学基金项目(61561001) （61561001）
北方民族大学重点科研项目(2015KJ10). （2015KJ10）
