課程信息
23,189 次近期查看

第 2 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

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

完成時間大約為22 小時

英語(English)

字幕:英語(English)
User
學習Course的學生是
  • Machine Learning Engineers
  • Data Scientists
  • Technical Solutions Engineers
  • Researchers
  • Software Engineers

您將學到的內容有

  • 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

您將獲得的技能

Image ProcessingImage SegmentationComputer ProgrammingMatlab
User
學習Course的學生是
  • Machine Learning Engineers
  • Data Scientists
  • Technical Solutions Engineers
  • Researchers
  • Software Engineers

第 2 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

中級

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

完成時間大約為22 小時

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 7 小時

Image Processing Fundamentals

4 個視頻 (總計 20 分鐘), 2 個閱讀材料, 8 個測驗
4 個視頻
Image Processing Basics4分鐘
Intensity Transformations4分鐘
Color Image Processing3分鐘
2 個閱讀材料
Resources (Optional): Image Processing Fundamentals30分鐘
REQUIRED- MATLAB Resources10分鐘
2 個練習
Image Processing Basics6分鐘
Intensity Transformations5分鐘
2
完成時間為 4 小時

Image Filters

5 個視頻 (總計 26 分鐘), 1 個閱讀材料, 7 個測驗
5 個視頻
Filtering in Frequency Domain4分鐘
Multi-Resolution Processing & Compression6分鐘
Morphological Image Processing3分鐘
Advanced Image Processing3分鐘
1 個閱讀材料
Resources (Optional): Image Filters30分鐘
5 個練習
Spatial Image Filtering20分鐘
Filtering in Frequency Domain6分鐘
Multi-Resolution Processing & Compression5分鐘
Morphological Image Processing15分鐘
Advanced Image Processing2分鐘
3
完成時間為 2 小時

Image Features & Matching

5 個視頻 (總計 21 分鐘), 1 個閱讀材料, 5 個測驗
5 個視頻
Scale Invariant Image Features5分鐘
Feature Matching1分鐘
Creating a Panorama4分鐘
Texture Matching2分鐘
1 個閱讀材料
Resources (Optional): Image Features and Matching30分鐘
4 個練習
Image Features
Scale Invariant Image Features6分鐘
Feature Matching2分鐘
Texture Matching2分鐘
4
完成時間為 3 小時

Image Segmentation

6 個視頻 (總計 15 分鐘), 2 個閱讀材料, 4 個測驗
6 個視頻
State-of-the-Art Image Segmentation2分鐘
Early Segmentation Techniques3分鐘
Segmentation & Clustering3分鐘
Probabilistic Segmentation58
Graph Cut Segmentation57
2 個閱讀材料
Resources (Optional): Image Segmentation30分鐘
Image Processing, Features & Segmentation - Key Takeaways15分鐘
2 個練習
Segmentation & Clustering6分鐘
Probabilistic Segmentation2分鐘

講師

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

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

關於 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....

關於 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....

關於 计算机视觉 專項課程

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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