ID 原文 译文
26105 为了提高多路径覆盖测试数据的生成效率，研究了一种基于蚁群算法的多路径覆盖测试数据生成方法。 In order to improve the generation efficiency of multipath coverage test data, a novel method is proposed based on ant colony algorithm (ACO)．
26106 首先给出蚁群算法的一种改进方法，该算法以蚂蚁对生成测试数据的重要性作为蚂蚁状态转移和蚂蚁路径变异的依据，以引导更多蚂蚁穿越小概率节点，提高测试数据生成效率。 Firstly, an improved ACO is developed. The importance of an ant to generate test data is considered as a factor for ant state transfer and path mutation. As a result, more ants are guided to traverse small probabilities node and the efficiency of test data generation is improved．
26107 其次，根据改进的蚁群算法分别提出了基于单信息素表和多信息素表的多路径覆盖测试数据生成方法。 Secondly, according to the improved ACO, test data generation of multipath coverage based on single pheromone table and multiple pheromone tables are proposed．
26108 在基于多信息素表的方法中，每条目标路径的信息素表均被用于其它路径测试数据的求解，而且蚁群算法运行一次即可求解多条目标路径的覆盖测试数据。 In a multiple pheromones table based approach, the pheromone table of each target path is also used to generate test data for other target path, and the test data of multiple paths are generated by running ACO only once．
26109 最后对所提出方法的有效性和复杂度进行了理论分析。 Finally, the effectiveness and complexityof the proposed method are analyzed theoretically．
26110 实验结果表明，与其它方法相比，基于多信息素表的测试数据生成方法能够有效地生成多路径覆盖测试数据。 Experimental results show that test data generation based on multi-phero-mone tables can effectively generate multipath coverage test data compared with other methods．
26111 为解决图像增强中对比度提高与噪声抑制的矛盾，本文提出了一种基于双域分解的图像增强算法，同步实现图像对比度提高与噪声抑制。 To solve the contradiction between contrast enhancement and noise suppression in image enhancement, an image enhancement algorithm based on dual domain decomposition (IEDD) is proposed．
26112 文中详述了空域分解、分层图像空域增强与变换域降噪、分层图像合成三个主要环节的原理、方法。 The principles and methods including spatial domain decomposition, layered spatial images enhancement and transform domain noise reduction, and layered images synthesis are described in detail．
26113 首先，高斯滤波器将图像分解为基础层和细节层，实现对比度提高与噪声抑制的解耦合; Firstly, the image is decomposed into a base layer and a detail layer by a Gaussian filter，that decouples the contrast enhancement and noise reduction．
26114 其次，带校正功能的单尺度 Ｒetinex 和硬阈值收缩的非下采样剪切波降噪算法同步实现基础层的增强和细节层的降噪; Next, in order to realize the enhancement of base layerand noise reduction of detail layers synchronously, the single-scale Ｒetinex with correction function and the nonsubsampled shearlet denoising algorithm with hard threshold shrinkage are implemented．