Application Research of Machine Vision Platform Based on Ant Colony Algorithm and Software Engineering

Xing Song, Yanqing Yang, S. Fan
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Abstract

The research on the application of machine vision platform based on ant colony algorithm and software engineering is aimed at the application of machine vision platform based on ant colony algorithm and software engineering. The main purpose of this study is to identify applications that can be developed using our proposed system. In order to better understand, we conducted a survey of colleagues from different universities and institutes to understand their feedback on this topic. We have collected information from them about their views on this project. It includes the following steps: 1. Design the system architecture and analyze its performance; 2. Develop necessary algorithms to achieve the expected results; 3. Implement the developed algorithm into the actual system with real-time requirements; 4. Analyze and test the implementation results of the algorithm in the actual system; 5. Improve or modify the existing algorithm to improve its performance and achieve the efficiency of the expected results; 6. Test new versions of existing or newly developed algorithms to improve their performance or efficiency.
基于蚁群算法和软件工程的机器视觉平台应用研究
基于蚁群算法和软件工程的机器视觉平台应用研究是针对基于蚁群算法和软件工程的机器视觉平台的应用。这项研究的主要目的是确定可以使用我们提出的系统开发的应用程序。为了更好地理解,我们对来自不同大学和研究所的同事进行了调查,了解他们对这个话题的反馈。我们已经从他们那里收集了他们对这个项目的看法。具体操作步骤如下:1。设计系统架构并进行性能分析;2. 开发必要的算法以达到预期的结果;3.根据实时性要求,将所开发的算法实现到实际系统中;4. 对算法在实际系统中的实现结果进行了分析和测试;5. 对现有算法进行改进或修改,提高其性能,达到预期效果的效率;6. 测试现有或新开发的算法的新版本,以提高其性能或效率。
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