A New Method for Fast Computation of Moments Based on 8-neighbor Chain CodeApplied to 2-D Objects Recognition

2D moment invariants have been successfully applied in pattern recognition tasks. The main difficulty of using moment invariants is the computational burden. To improve the algorithm of moments computation through an iterative method, an approach for fast computation of moments based on the 8-neighbor chain code is proposed in this paper. Then artificial neural networks are applied for 2D shape recognition with moment invariants. Compared with the method of polygonal approximation, this approach shows higher accuracy in shape representation and faster recognition speed in experiment

Selection of Programming Language in the Development of Computer Application Software

Research showed that the popularization of the Internet among people can be attributed to recent years’ continuous development of science and technology, making it an important part of people’s daily life. Researcher showed that, for the better development of software application, the related staff should throw themselves actively into the appropriate selection and application of programming language. The variety of the programming languages in network system have imposed a restriction on the optimization of programmers’ level, as a result, developers often find it difficult to effectively implement the application of relevant programming languages. The appropriate management of this problem requires active analysis of the various programming languages, and it also has becoming an important issue in the development of China’s Internet industry. Aiming at promote the level of computer software development. This article explored the programming language selection under the process of computer application software development