ID 原文 译文
11274 ‭与Memetic算法和信息增益(information gain,IG)算法相比,所提算法在识别更少关键质量特性的同时,得到更高预测精度。 ‭And Memetic algorithm and information gain (information gain, IG) algorithm, the proposed algorithm in identifying key quality characteristics of less at the same time, get a higher forecasting precision.
11275 针对经典的奇异值分解(singular value decomposition,SVD)在图像处理中的不足,提出了一种6通道多尺度奇异值分解(multi-scale SVD,MSVD)的构造方法,并将其应用于多聚焦图像融合中。 For classic singular value decomposition (singular value decomposition, SVD) in image processing, this paper proposes a six channel multi-scale singular value decomposition (multi - scale SVD, MSVD) constructor, and applied to more focus on image fusion.
11276 首先,在经典SVD的基础上,利用矩阵分块的方法,给出了一种6通道MSVD的构造方法。 ‭First of all, on the basis of the classical SVD, by using the method of matrix block, presents a six channel MSVD constructor.
11277 其次,对参加融合的多聚焦图像进行6通道MSVD分解,得到高层低频和各层5个方向的高频,对分解的低频子图像采用取平均、高频子图像采用区域能量取大的融合规则进行融合,并进行MSVD逆变换得到融合结果图像。 ‭Secondly, for the fusion of more focused image 6 channel MSVD decomposition, with senior and five in the direction of high frequency and low frequency on the decomposition of low frequency images with average, high-frequency sub image using the fusion rules of the integration of regional energy, and MSVD inverse transformation get the fusion result image.
11278 最后,对融合结果图像进行主观分析和客观评价。 ‭Finally, the result of the fusion image analysis of subjective and objective evaluation.
11279 实验结果表明该方法有好的视觉效果,融合结果图像有较高的清晰度和较丰富的边缘细节信息,且没有方块效应。 ‭The experimental results show that this method has a good visual effect, the fusion result image with high resolution and rich edge details information, and there is no square effect.
11280 从客观指标看,该方法有较高的清晰度和空间频率,其清晰度和空间频率比基于离散小波变换、基于提升小波变换、基于曲波变换和基于轮廓波变换的融合方法都高。 ‭From the objective indicators, the method has higher resolution and spatial frequency, the definition and the spatial frequency ratio based on discrete wavelet transform, based on curvelet transform based on lifting wavelet transform, and outline of the wavelet transform based fusion method is high. ‭
11281 多核处理器的并行任务调度一直是研究的热点话题,属于NP-hard问题。 Multi-core processors parallel task scheduling has been the hot topic in the research, is NP - hard problem.
11282 针对此问题,本文提出了一种集启发式算法、禁忌搜索算法、模拟退火算法于一体的改进混合遗传算法(modified hybrid genetic algorithm,MHGA)。 Aiming at this problem, this paper proposes a set of heuristic algorithm, tabu search algorithm, simulated annealing algorithm in an improved hybrid genetic algorithm (modified hybrid based algorithm, MHGA).MHGA improvement as follows:
11283 MHGA改进如下:首先,采用启发式的分层调度来初始化种群,提高初始种群质量; first, using heuristic hierarchical scheduling to initialize the population, improve the quality of initial population;