譯聯10年翻譯品牌，20000家企業見證深圳翻譯公司
譯聯10年翻譯品牌，20000家企業見證深圳翻譯公司
成績單翻譯方面，最主要的就是做好課程名的翻譯，以下是視覺檢測技術與數字圖像處理這兩門課程的中英文內容翻譯對照版本，這兩門課程主要是光電工程專業會用到，在翻譯時，可以參考下文中提供的成績單英文名稱，內容是由院校提供，這里整理出來，供您參考。
課程中文名稱：視覺檢測技術
成績單翻譯的課程英文名稱：COMPUTER VISION DETECTION TECHNOLOGY
課程簡介：
“視覺檢測技術”是光電信息工程專業和測控技術及儀器專業重要的專業課，該課程是一門理論與實踐相結合的課程。教學內容介紹了視覺檢測技術基本組成與原理，涵蓋了光源、鏡頭、相機、圖像采集卡等視覺檢測系統所有環節，并研究了機器視覺中的幾類典型問題。通過實驗，可以很好的得到視覺檢測系統構成與研發、使用訓練。
學習本課程能夠掌握視覺檢測的基礎知識，了解該領域最先進的方法和技術，具備設計、開發專用視覺檢測系統的初步能力，用來解決諸多領域中所遇到的各種非接觸測量和檢測問題，同時也為高附加值、高市場成長率的光電信息產業培養實際所需人才。
課程采用累加式考察，最終成績由出勤與課堂表現、實驗、大作業、結課報告幾部分組成。
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.
課程中文名稱：數字圖像處理
成績單翻譯的課程英文名稱：課程英文名稱：Digital Image Processing
課程簡介：
《數字圖像處理》是集光學、微電子學、計算機科學、應用數學等學科的一門綜合性交叉學科， 已經成功應用于很多領域，特別是在無損測量、自動化檢測、高精度瞄準等領域。
從圖像工程角度，本課程主要講解狹義圖像處理和圖像分析領域中基本的方法和概念，并通過形象化的教學，給出直觀的處理結果，使學生能夠理解其中的基本概念、理論及解決問題的基本思想與方法，較熟練地掌握基本的處理技術、算法的數學模型與實現、以及圖像分析的基本方法等， 使之具有深入自學該學科理論和算法的能力，為以后的圖像處理技術應用奠定基礎。
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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