TH703 2001031562在定域法中实现光学全局优化=Realization of opticalglobal optimization in boundary method[刊,中]/李良钰,朱健强(中科院上海光机所.上海(201800)),林大健(中科院光电所.四川,成都(610209))∥光子学报.-2000,29(4)....TH703 2001031562在定域法中实现光学全局优化=Realization of opticalglobal optimization in boundary method[刊,中]/李良钰,朱健强(中科院上海光机所.上海(201800)),林大健(中科院光电所.四川,成都(610209))∥光子学报.-2000,29(4).-348-351把不等式法用于光学优化设计中,同时使用了"逃逸函数"技术,从而实现了光学系统设计的全局优化。展开更多
TH703 99063522三轴稳定地球同步气象卫星CDD成像仪光学系统设计=Optical system design of a CCD imager in athree—axis stabilized geostationary meteoro-logical satellite[刊,中]/孙胜利(中科院上海技物所.上海(200083))∥98’...TH703 99063522三轴稳定地球同步气象卫星CDD成像仪光学系统设计=Optical system design of a CCD imager in athree—axis stabilized geostationary meteoro-logical satellite[刊,中]/孙胜利(中科院上海技物所.上海(200083))∥98’中国青年光学学术讨论会.—陕西,西安,98.展开更多
The S/N of an underwater image is low and has a fuzzy edge.If using traditional methods to process it directly,the result is not satisfying.Though the traditional fuzzy C-means algorithm can sometimes divide the image...The S/N of an underwater image is low and has a fuzzy edge.If using traditional methods to process it directly,the result is not satisfying.Though the traditional fuzzy C-means algorithm can sometimes divide the image into object and background,its time-consuming computation is often an obstacle.The mission of the vision system of an autonomous underwater vehicle (AUV) is to rapidly and exactly deal with the information about the object in a complex environment for the AUV to use the obtained result to execute the next task.So,by using the statistical characteristics of the gray image histogram,a fast and effective fuzzy C-means underwater image segmentation algorithm was presented.With the weighted histogram modifying the fuzzy membership,the above algorithm can not only cut down on a large amount of data processing and storage during the computation process compared with the traditional algorithm,so as to speed up the efficiency of the segmentation,but also improve the quality of underwater image segmentation.Finally,particle swarm optimization (PSO) described by the sine function was introduced to the algorithm mentioned above.It made up for the shortcomings that the FCM algorithm can not get the global optimal solution.Thus,on the one hand,it considers the global impact and achieves the local optimal solution,and on the other hand,further greatly increases the computing speed.Experimental results indicate that the novel algorithm can reach a better segmentation quality and the processing time of each image is reduced.They enhance efficiency and satisfy the requirements of a highly effective,real-time AUV.展开更多
文摘TH703 2001031562在定域法中实现光学全局优化=Realization of opticalglobal optimization in boundary method[刊,中]/李良钰,朱健强(中科院上海光机所.上海(201800)),林大健(中科院光电所.四川,成都(610209))∥光子学报.-2000,29(4).-348-351把不等式法用于光学优化设计中,同时使用了"逃逸函数"技术,从而实现了光学系统设计的全局优化。
文摘TH703 99063522三轴稳定地球同步气象卫星CDD成像仪光学系统设计=Optical system design of a CCD imager in athree—axis stabilized geostationary meteoro-logical satellite[刊,中]/孙胜利(中科院上海技物所.上海(200083))∥98’中国青年光学学术讨论会.—陕西,西安,98.
基金Supported by the National Natural Science Foundation of China under Grant No.50909025/E091002the Open Research Foundation of SKLab AUV, HEU under Grant No.2008003
文摘The S/N of an underwater image is low and has a fuzzy edge.If using traditional methods to process it directly,the result is not satisfying.Though the traditional fuzzy C-means algorithm can sometimes divide the image into object and background,its time-consuming computation is often an obstacle.The mission of the vision system of an autonomous underwater vehicle (AUV) is to rapidly and exactly deal with the information about the object in a complex environment for the AUV to use the obtained result to execute the next task.So,by using the statistical characteristics of the gray image histogram,a fast and effective fuzzy C-means underwater image segmentation algorithm was presented.With the weighted histogram modifying the fuzzy membership,the above algorithm can not only cut down on a large amount of data processing and storage during the computation process compared with the traditional algorithm,so as to speed up the efficiency of the segmentation,but also improve the quality of underwater image segmentation.Finally,particle swarm optimization (PSO) described by the sine function was introduced to the algorithm mentioned above.It made up for the shortcomings that the FCM algorithm can not get the global optimal solution.Thus,on the one hand,it considers the global impact and achieves the local optimal solution,and on the other hand,further greatly increases the computing speed.Experimental results indicate that the novel algorithm can reach a better segmentation quality and the processing time of each image is reduced.They enhance efficiency and satisfy the requirements of a highly effective,real-time AUV.
