课程信息

第 2 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

完成时间大约为12 小时

建议:4 weeks of study, 4-5 hours per week...

英语(English)

字幕:英语(English)

您将学到的内容有

  • Check

    Design and build image processing applications

  • Check

    Examine the different types of image transformations

  • Check

    Analyze images in frequency domain

  • Check

    Understand image features and segmentation

您将获得的技能

Image ProcessingImage SegmentationComputer ProgrammingMatlab

第 2 门课程(共 4 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

中级

Basic programming skills & experience; familiarity with basic linear algebra, calculus & probability, and 3D co-ordinate systems & transformations

完成时间大约为12 小时

建议:4 weeks of study, 4-5 hours per week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 7 小时

Image Processing Fundamentals

In this module, we will discuss the basics and applications of digital image processing, including intensity transformations and color image processing....
4 个视频 (总计 20 分钟), 2 个阅读材料, 8 个测验
4 个视频
Image Processing Basics4分钟
Intensity Transformations4分钟
Color Image Processing3分钟
2 个阅读材料
Resources (Optional): Image Processing Fundamentals30分钟
REQUIRED- MATLAB Resources10分钟
2 个练习
Image Processing Basics6分钟
Intensity Transformations5分钟
2
完成时间为 7 小时

Image Filters

In this module, we will discuss image filtering as well as some advanced image processing methods....
5 个视频 (总计 26 分钟), 1 个阅读材料, 10 个测验
5 个视频
Filtering in Frequency Domain4分钟
Multi-Resolution Processing & Compression6分钟
Morphological Image Processing3分钟
Advanced Image Processing3分钟
1 个阅读材料
Resources (Optional): Image Filters30分钟
5 个练习
Spatial Image Filtering20分钟
Filtering in Frequency Domain6分钟
Multi-Resolution Processing & Compression5分钟
Morphological Image Processing15分钟
Advanced Image Processing2分钟
3
完成时间为 2 小时

Image Features & Matching

In this module, we will discuss image features, feature matching, texture matching, and how to create a panorama....
5 个视频 (总计 21 分钟), 1 个阅读材料, 5 个测验
5 个视频
Scale Invariant Image Features5分钟
Feature Matching1分钟
Creating a Panorama4分钟
Texture Matching2分钟
1 个阅读材料
Resources (Optional): Image Features and Matching30分钟
4 个练习
Image Features
Scale Invariant Image Features6分钟
Feature Matching2分钟
Texture Matching2分钟
4
完成时间为 3 小时

Image Segmentation

This module describes what image segmentation is and provides information on the different techniques used to perform image segmentation....
6 个视频 (总计 15 分钟), 2 个阅读材料, 4 个测验
6 个视频
State-of-the-Art Image Segmentation2分钟
Early Segmentation Techniques3分钟
Segmentation & Clustering3分钟
Probabilistic Segmentation58
Graph Cut Segmentation57
2 个阅读材料
Resources (Optional): Image Segmentation30分钟
Image Processing, Features & Segmentation - Key Takeaways15分钟
2 个练习
Segmentation & Clustering6分钟
Probabilistic Segmentation2分钟

讲师

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

Associate Professor and Director of Visual Computing Lab
Computer Science and Engineering

关于 纽约州立大学布法罗分校

The University at Buffalo (UB) is a premier, research-intensive public university and the largest, most comprehensive institution of the State University of New York (SUNY) system. UB offers more than 100 undergraduate degrees and nearly 300 graduate and professional programs....

关于 纽约州立大学纽约州立大学

The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe....

关于 计算机视觉 专项课程

This specialization provides a foundation in the rapidly expanding research field of computer vision, laying the groundwork necessary for designing sophisticated vision applications. Learners explore the integral elements that enable vision applications, ranging from editing images to reading traffic signs in self-driving cars to factory robots navigating around human co-workers. Content includes image processing and state-of-the-art vision techniques, augmented by insights from top leaders in the computer vision field. Learners gain hands-on experience writing computer vision programs through online labs using MATLAB and supporting toolboxes. The specialization is taught in MATLAB* using computer vision and supporting toolboxes. Learners should have basic programming skills and experience (understanding of for loops, if/else statements), specifically in MATLAB (Mathworks provides the basics here: https://www.mathworks.com/learn/tutorials/matlab-onramp.html). Learners should also be familiar with the following: basic linear algebra (matrix vector operations and notation), 3D co-ordinate systems and transformations, basic calculus (derivatives and integration) and basic probability (random variables). To learn more, check out a video overview at https://youtu.be/OfxVUSCPXd0. * A free license to install MATLAB for the duration of the course is available from MathWorks....
计算机视觉

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