船舶图像处理过程的多任务调度算法  

Research on multi-task Scheduling algorithm of ship image processing

作　　者：周芸[1] 吕金华[1] ZHOU Yun;LV Jin-hua(Wuhan Institute of Shipbuilding Technology,Wuhan 430050,China)

机构地区：[1]武汉船舶职业技术学院,湖北武汉430050

出　　处：《舰船科学技术》2023年第11期163-166,共4页Ship Science and Technology

基　　金：国家自然科学基金资助项目(52105528)。

摘　　要：船舶雷达视频图像监控系统的工作性能直接取决于雷达图像的处理效率和精度,随着雷达系统数据量的不断增加,基于云计算技术进行图像处理器和资源的调度成为一项具有重要潜力的技术。本文从云计算资源调度的原理、船舶凸显处理系统的原理等方面进行详细介绍,研究一种基于遗传算法和模拟退火算法相结合的船舶图像处理多任务调度算法。仿真结果表明,基于遗传算法和模拟退火算法的图像处理多任务调度算法具有效率高、可操作性强等优点。The performance of ship radar video image monitoring system directly depends on the efficiency and accuracy of radar image processing.With the increasing amount of radar system data,image processor and resource scheduling based on cloud computing technology has become an important potential technology.This paper introduces the principle of cloud computing resource scheduling and the principle of ship prominence processing system in detail,and studies a ship image processing multi-task scheduling algorithm based on genetic algorithm and simulated annealing algorithm.The simulation results show that.The multi-task scheduling algorithm based on genetic algorithm and simulated annealing algorithm has the advantages of high efficiency and strong operability.

关 键 词：雷达图像 多任务调度 遗传算法 模拟退火算法 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]