随着经济全球化的快速发展,品牌形象成为一个企业利益的重要体现。广告宣传片是解读和阐释品牌形象的直接途径。由于宣传片具备影像制作的众多优势,可以极大地推广某一品牌,因此各大企业都越来越重视广告宣传片的制作和传播。本文以华...随着经济全球化的快速发展,品牌形象成为一个企业利益的重要体现。广告宣传片是解读和阐释品牌形象的直接途径。由于宣传片具备影像制作的众多优势,可以极大地推广某一品牌,因此各大企业都越来越重视广告宣传片的制作和传播。本文以华为海外宣传片Dream It Possible为例,运用视觉表征ACTS模式,对其进行视觉阐释,分析其文本蕴含的深层意义。展开更多
A method and results of identification of wear debris using their morphological features are presented. The color images of wear debris were used as initial data. Each particle was characterized by a set of numerical ...A method and results of identification of wear debris using their morphological features are presented. The color images of wear debris were used as initial data. Each particle was characterized by a set of numerical parameters combined by its shape, color and surface texture features through a computer vision system. Those features were used as input vector of artificial neural network for wear debris identification. A radius basis function (RBF) network based model suitable for wear debris recognition was established, and its algorithm was presented in detail. Compared with traditional recognition methods, the RBF network model is faster in convergence, and higher in accuracy.展开更多
文摘随着经济全球化的快速发展,品牌形象成为一个企业利益的重要体现。广告宣传片是解读和阐释品牌形象的直接途径。由于宣传片具备影像制作的众多优势,可以极大地推广某一品牌,因此各大企业都越来越重视广告宣传片的制作和传播。本文以华为海外宣传片Dream It Possible为例,运用视觉表征ACTS模式,对其进行视觉阐释,分析其文本蕴含的深层意义。
文摘A method and results of identification of wear debris using their morphological features are presented. The color images of wear debris were used as initial data. Each particle was characterized by a set of numerical parameters combined by its shape, color and surface texture features through a computer vision system. Those features were used as input vector of artificial neural network for wear debris identification. A radius basis function (RBF) network based model suitable for wear debris recognition was established, and its algorithm was presented in detail. Compared with traditional recognition methods, the RBF network model is faster in convergence, and higher in accuracy.