译联10年翻译品牌，20000家企业见证深圳翻译公司
译联10年翻译品牌，20000家企业见证深圳翻译公司
成绩单翻译方面，最主要的就是做好课程名的翻译，以下是视觉检测技术与数字图像处理这两门课程的中英文内容翻译对照版本，这两门课程主要是光电工程专业会用到，在翻译时，可以参考下文中提供的成绩单英文名称，内容是由院校提供，这里整理出来，供您参考。
课程中文名称：视觉检测技术
成绩单翻译的课程英文名称：COMPUTER VISION DETECTION TECHNOLOGY
课程简介：
“视觉检测技术”是光电信息工程专业和测控技术及仪器专业重要的专业课，该课程是一门理论与实践相结合的课程。教学内容介绍了视觉检测技术基本组成与原理，涵盖了光源、镜头、相机、图像采集卡等视觉检测系统所有环节，并研究了机器视觉中的几类典型问题。通过实验，可以很好的得到视觉检测系统构成与研发、使用训练。
学习本课程能够掌握视觉检测的基础知识，了解该领域最先进的方法和技术，具备设计、开发专用视觉检测系统的初步能力，用来解决诸多领域中所遇到的各种非接触测量和检测问题，同时也为高附加值、高市场成长率的光电信息产业培养实际所需人才。
课程采用累加式考察，最终成绩由出勤与课堂表现、实验、大作业、结课报告几部分组成。
Course Description：
Computer vision detection technology is set as an important specialized course for the department of the technology of photoelectric information. Its instructional target is to make the students study and master the basic principles and primary knowledge of computer vision detection, and also know the most advanced methods and techniques in this area.
Through this course, students are provided with the elementary capability for designing and developing the computer vision detection system to resolve the various measuring and testing problems in the Non-contect detection projects. Meanwhile, it can also cultivate practical required personnel with the ability for the photoelectric information industry with high added value and high growing rate market.
课程中文名称：数字图像处理
成绩单翻译的课程英文名称：课程英文名称：Digital Image Processing
课程简介：
《数字图像处理》是集光学、微电子学、计算机科学、应用数学等学科的一门综合性交叉学科， 已经成功应用于很多领域，特别是在无损测量、自动化检测、高精度瞄准等领域。
从图像工程角度，本课程主要讲解狭义图像处理和图像分析领域中基本的方法和概念，并通过形象化的教学，给出直观的处理结果，使学生能够理解其中的基本概念、理论及解决问题的基本思想与方法，较熟练地掌握基本的处理技术、算法的数学模型与实现、以及图像分析的基本方法等， 使之具有深入自学该学科理论和算法的能力，为以后的图像处理技术应用奠定基础。
Course Description：
Digital image processing is a synthesis subject, composed of some subjects such as optics, micro-electronics, computer science, applied mathematics, etc. It has been successfully applied in many fields, especially in lossless measurement, auto-detection and high-precision aiming, where other techniques could not be taken place.
The course mainly introduces some methods about image, like how to obtain digital image, basic concepts, characters, theories, methods of image enhancement, recovery and reconstruction, image analysis, coding realization, and the theories about morphologic and pattern recognition. In the process of teaching, the lively teaching method will be used, which makes students easily understand the basic concepts, theories, and the way to solve problems in image processing. The purpose of the subject is to offer some methods and techniques for students mastering the process, programming, building model, analyzing image, and searching further for image processing, and so on.
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