Informações sobre o curso

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

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

Aprox. 12 horas para completar

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

Inglês

Legendas: Inglês

O que você vai aprender

  • 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

Habilidades que você terá

Image ProcessingImage SegmentationComputer ProgrammingMatlab

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Nível intermediário

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

Aprox. 12 horas para completar

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

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
7 horas para concluir

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 vídeos (total de (Total 20 mín.) min), 2 leituras, 8 testes
4 videos
Image Processing Basics4min
Intensity Transformations4min
Color Image Processing3min
2 leituras
Resources (Optional): Image Processing Fundamentals30min
REQUIRED- MATLAB Resources10min
2 exercícios práticos
Image Processing Basics6min
Intensity Transformations5min
Semana
2
7 horas para concluir

Image Filters

In this module, we will discuss image filtering as well as some advanced image processing methods....
5 vídeos (total de (Total 26 mín.) min), 1 leitura, 10 testes
5 videos
Filtering in Frequency Domain4min
Multi-Resolution Processing & Compression6min
Morphological Image Processing3min
Advanced Image Processing3min
1 leituras
Resources (Optional): Image Filters30min
5 exercícios práticos
Spatial Image Filtering20min
Filtering in Frequency Domain6min
Multi-Resolution Processing & Compression5min
Morphological Image Processing15min
Advanced Image Processing2min
Semana
3
2 horas para concluir

Image Features & Matching

In this module, we will discuss image features, feature matching, texture matching, and how to create a panorama....
5 vídeos (total de (Total 21 mín.) min), 1 leitura, 5 testes
5 videos
Scale Invariant Image Features5min
Feature Matching1min
Creating a Panorama4min
Texture Matching2min
1 leituras
Resources (Optional): Image Features and Matching30min
4 exercícios práticos
Image Features
Scale Invariant Image Features6min
Feature Matching2min
Texture Matching2min
Semana
4
3 horas para concluir

Image Segmentation

This module describes what image segmentation is and provides information on the different techniques used to perform image segmentation....
6 vídeos (total de (Total 15 mín.) min), 2 leituras, 4 testes
6 videos
State-of-the-Art Image Segmentation2min
Early Segmentation Techniques3min
Segmentation & Clustering3min
Probabilistic Segmentation58s
Graph Cut Segmentation57s
2 leituras
Resources (Optional): Image Segmentation30min
Image Processing, Features & Segmentation - Key Takeaways15min
2 exercícios práticos
Segmentation & Clustering6min
Probabilistic Segmentation2min

Instrutores

Avatar

Radhakrishna Dasari

Instructor
Department of Computer Science
Avatar

Junsong Yuan

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

Sobre Universidade de Buffalo

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....

Sobre Universidade Estadual de Nova York

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....

Sobre o Programa de cursos integrados Visão computacional

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....
Visão computacional

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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