About this Course

다음의 2/4개 강좌

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

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

완료하는 데 약 12시간 필요

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

영어

자막: 영어

배울 내용

  • 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

귀하가 습득할 기술

Image ProcessingImage SegmentationComputer ProgrammingMatlab

다음의 2/4개 강좌

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

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

완료하는 데 약 12시간 필요

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

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 7시간 필요

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 videos (Total 20 min), 2 readings, 8 quizzes
4개의 동영상
Image Processing Basics4m
Intensity Transformations4m
Color Image Processing3m
2개의 읽기 자료
Resources (Optional): Image Processing Fundamentals30m
REQUIRED- MATLAB Resources10m
2개 연습문제
Image Processing Basics6m
Intensity Transformations5m
2
완료하는 데 4시간 필요

Image Filters

In this module, we will discuss image filtering as well as some advanced image processing methods....
5 videos (Total 26 min), 1 reading, 7 quizzes
5개의 동영상
Filtering in Frequency Domain4m
Multi-Resolution Processing & Compression6m
Morphological Image Processing3m
Advanced Image Processing3m
1개의 읽기 자료
Resources (Optional): Image Filters30m
5개 연습문제
Spatial Image Filtering20m
Filtering in Frequency Domain6m
Multi-Resolution Processing & Compression5m
Morphological Image Processing15m
Advanced Image Processing2m
3
완료하는 데 2시간 필요

Image Features & Matching

In this module, we will discuss image features, feature matching, texture matching, and how to create a panorama....
5 videos (Total 21 min), 1 reading, 5 quizzes
5개의 동영상
Scale Invariant Image Features5m
Feature Matching1m
Creating a Panorama4m
Texture Matching2m
1개의 읽기 자료
Resources (Optional): Image Features and Matching30m
4개 연습문제
Image Features
Scale Invariant Image Features6m
Feature Matching2m
Texture Matching2m
4
완료하는 데 3시간 필요

Image Segmentation

This module describes what image segmentation is and provides information on the different techniques used to perform image segmentation....
6 videos (Total 15 min), 2 readings, 4 quizzes
6개의 동영상
State-of-the-Art Image Segmentation2m
Early Segmentation Techniques3m
Segmentation & Clustering3m
Probabilistic Segmentation58
Graph Cut Segmentation57
2개의 읽기 자료
Resources (Optional): Image Segmentation30m
Image Processing, Features & Segmentation - Key Takeaways15m
2개 연습문제
Segmentation & Clustering6m
Probabilistic Segmentation2m

강사

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

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

뉴욕주립대학교 버펄로 캠퍼스 정보

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....

뉴욕주립대학교 정보

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....

컴퓨터 비전 전문 분야 정보

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....
컴퓨터 비전

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.