2026/27 · 官方课程目录版本
该 PDF 文件注明的生效学期为 Semester A 2025/26。
这版课程介绍仍在逐项核对。选课前,请对照下方校方原文件确认修读条件和考核要求。
2026/27 开课标注:Semester A 2026/27 · 校方目录标注 ↗
The PDF Effective Term is separate from the 2026/27 catalogue year and current offering observation.
这门课学什么
港真课程概览
从数字影像获取与表示出发,讨论图像改善、分割和特征处理,再将视觉方法用于实际识别问题。
- 课程简介
- The elective course introduces a thorough grounding of the principles of image processing and computer vision and seeks to develop students’ knowledge from basic image processing techniques to advanced computer vision. It concentrates on the fundamental theory of image processing and computer vision with emphasis on the areas of feature extraction, image segmentation, object recognition.
校方 PDF 第 1–2 页 · Abstract
- 课程内容
- Keyword Syllabus This elective course is designed for electronic engineering students to learn the principles of digital image processing and the use of digital image processing techniques to solve practical problems in computer vision field. The course will first introduce basic concepts, theory and methods of digital image processing, including image acquisition, image representation, sampling, interpolation, geometric distortions, image restoration. Then this course will introduce image segmentation, object recognition, image classification.
校方 PDF 第 4 页 · Keyword Syllabus
- 预期学习成果
查看校方学习成果与对应条件
Course Intended Learning Outcomes (CILOs) CILOs Weighting (if DEC-A1 DEC-A2 DEC-A3 app.) 1 Student will be involved in the lecture to gain x knowledge of the main characteristics of different image processing techniques and computer vision applications 2 Student will be involved in the project session x x to implement image processing and computer vision algorithms on computers 3 Student will be able to apply the learned x x knowledge in computer vision and image processing principles to create new and improved solutions for real-world applications A1: Attitude Develop an attitude of discovery/innovation/creativity, as demonstrated by students possessing a strong sense of curiosity, asking questions actively, challenging assumptions or engaging in inquiry together with teachers. A2: Ability Develop the ability/skill needed to discover/innovate/create, as demonstrated by students possessing critical thinking skills to assess ideas, acquiring research skills, synthesizing knowledge across disciplines or applying academic knowledge to real-life problems. A3: Accomplishments Demonstrate accomplishment of discovery/innovation/creativity through producing /constructing creative works/new artefacts, effective solutions to real-life problems or new processes.校方 PDF 第 2 页 · Course Intended Learning Outcomes (CILOs)
我能不能修这门课
先修、建议先备和并修要求分别查看;等同及互斥条件也会影响选课。and 表示同时满足,or 表示备选;组合条件按下方原文分组阅读。
- 先修条件
校方 PDF 第 1 页 · Prerequisites
- 建议先备知识
- 无(校方注明 Nil)
校方 PDF 第 1 页 · Precursors
- 并修要求
- 所查阅的校方 PDF 和目录页均未列明该项。
- 其他修读要求
- 本页尚无已核实的这一项信息。
- 等同课程及条件
- 无(校方注明 Nil)
校方 PDF 第 1 页 · Equivalent Courses
- 互斥课程及条件
- 无(校方注明 Nil)
校方 PDF 第 1 页 · Exclusive Courses
怎么考,怎样才算通过
- 考核方式
- Continuous assessment: 65%; Examination: 35%; Examination duration: 2 hours
各项考核占多少分
考核项目 比重 生成式 AI 使用 备注与限制 Tests (min.: 2)CILO 1, 2, 3 50% 否(No) 原表未列明 #AssignmentsCILO 1, 2, 3 15% 是(Yes) 原表未列明 校方 PDF 第 2–3 页 · Assessment Tasks / Activities (ATs)
查看校方原始考核表与使用要求
Assessment Tasks / Activities (ATs) ATs CILO No. Weighting (%) Remarks ("-" for Allow Use of nil entry) GenAI? 1 Tests (min.: 2) 1, 2, 3 50 - No 2 #Assignments 1, 2, 3 15 - Yes Continuous Assessment (%) 65 Examination (%) 35 Examination Duration (Hours) 2 Minimum Continuous Assessment Passing Requirement (%) 30 Minimum Examination Passing Requirement (%) 30 Additional Information for ATs Remark: To pass the course, students are required to achieve at least 30% in course work and 30% in the examination. # may include homework, tutorial exercise, project/mini-project, presentation - 通过条件
- At least 30% in coursework and 30% in the examination.
校方 PDF 第 3 页 · Additional Information for ATs
学分、时长与版本信息
- 本版本课程名称
- Computer Vision
校方 PDF 第 1 页 · Course Title
- 本版本学分
- 3
校方 PDF 第 1 页 · Credit Units
- 修读时长
- One Semester
校方 PDF 第 1 页 · Course Duration
- 课纲生效学期
- Semester A 2025/26
- 课纲列明的级别
- B1, B2, B3, B4 - Bachelor's Degree
核对官方原文件
可通过下方校方链接阅读或下载该版原始 PDF。 EE4211 · 打开校方原始 PDF ↗
来源 · 校方课程介绍 ↗ · 查阅 2026-10-19T07:47:58.851147+00:00