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    • Image Processing

    筛选依据

    ''image processing'的 129 个结果

    • MathWorks

      MathWorks

      Image Processing for Engineering and Science

      您将获得的技能: Analysis, Computer Graphic Techniques, Computer Graphics, Computer Vision, Data Analysis, Data Analysis Software, Linear Algebra, Machine Learning, Mathematics, Operations Management, Strategy and Operations

      4.8

      (27 条评论)

      Beginner · Specialization

    • IBM

      IBM

      Introduction to Computer Vision and Image Processing

      您将获得的技能: Artificial Neural Networks, Computer Graphics, Computer Graphic Techniques, Machine Learning, Image Processing, Computer Vision, Opencv, Deep Learning

      4.4

      (793 条评论)

      Beginner · Course

    • 免费

      Northwestern University

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      您将获得的技能: Matlab, Algorithms, Image Processing, Mathematics, Probability & Statistics, Theoretical Computer Science, Machine Learning, Mathematical Theory & Analysis, Computer Vision, Data Analysis, Computer Graphic Techniques, Data Analysis Software, Computer Graphics, Computational Logic, Linear Algebra, General Statistics

      4.6

      (1.6k 条评论)

      Mixed · Course

    • 免费

      Duke University

      Duke University

      Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

      您将获得的技能: Computer Vision, Machine Learning, Image Processing, Mathematics, Computer Graphic Techniques, Linear Algebra, Computer Graphics, Applied Mathematics

      4.7

      (1k 条评论)

      Mixed · Course

    • MathWorks

      MathWorks

      Introduction to Image Processing

      您将获得的技能: Computer Vision, Computer Graphic Techniques, Image Processing, Data Analysis, Machine Learning, Data Analysis Software, Computer Graphics, Linear Algebra, Mathematics

      4.8

      (26 条评论)

      Beginner · Course

    • Vanderbilt University

      Vanderbilt University

      Introduction to Data, Signal, and Image Analysis with MATLAB

      您将获得的技能: Process, Data Visualization, Plot (Graphics), Matlab, Algorithms, Theoretical Computer Science, Image Processing, Computer Vision, Computer Graphic Techniques, Mathematics, Regression, Data Analysis, General Statistics, Machine Learning, Computer Graphics, Probability & Statistics, Linear Algebra, Analysis, Data Analysis Software, Dimensionality Reduction

      4.8

      (139 条评论)

      Intermediate · Course

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      Coursera Project Network

      Coursera Project Network

      Image Classification with CNNs using Keras

      您将获得的技能: Artificial Neural Networks, Python Programming, Machine Learning, Statistical Classification, Image Processing, Computer Programming, Deep Learning, Statistical Programming

      4.4

      (542 条评论)

      Intermediate · Guided Project

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      MathWorks

      MathWorks

      Image Segmentation, Filtering, and Region Analysis

      您将获得的技能: Strategy and Operations, Computer Vision, Machine Learning, Computer Graphic Techniques, Computer Graphics, Analysis, Operations Management

      Beginner · Course

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      Columbia University

      Columbia University

      Camera and Imaging

      您将获得的技能: Theoretical Computer Science, Algorithms, Machine Learning, Computer Graphics, Mathematics, Computer Vision, Computer Graphic Techniques

      4.5

      (44 条评论)

      Beginner · Course

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      IBM

      IBM

      Applied AI with DeepLearning

      您将获得的技能: Artificial Neural Networks, Big Data, Python Programming, Natural Language Processing, Applied Machine Learning, Apache Spark, Machine Learning, Computer Vision, Computer Programming, Data Management, Statistical Programming, Apache, Deep Learning, PyTorch, Keras, Tensorflow

      4.4

      (1.1k 条评论)

      Advanced · Course

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      Coursera Project Network

      Coursera Project Network

      Image Processing: Object Auto-tracking using Tracker

      Beginner · Guided Project

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      University at Buffalo

      University at Buffalo

      Computer Vision Basics

      您将获得的技能: Matlab, Computer Vision, Machine Learning, Mathematics, Data Analysis, Image Processing, Computer Graphics

      4.2

      (1.7k 条评论)

      Intermediate · Course

    与 image processing 相关的搜索

    image processing with python
    image processing for engineering and science
    image processing: object auto-tracking using tracker
    automating image processing
    distributed image processing in cloud dataproc
    introduction to image processing
    introduction to computer vision and image processing
    image and video processing: from mars to hollywood with a stop at the hospital
    1234…11

    总之,这是我们最受欢迎的 image processing 门课程中的 10 门

    • Image Processing for Engineering and Science: MathWorks
    • Introduction to Computer Vision and Image Processing: IBM
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
    • Introduction to Image Processing: MathWorks
    • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
    • Image Classification with CNNs using Keras: Coursera Project Network
    • Image Segmentation, Filtering, and Region Analysis: MathWorks
    • Camera and Imaging: Columbia University
    • Applied AI with DeepLearning: IBM

    您可以在 Algorithms 中学到的技能

    图形 (22)
    数学优化 (21)
    计算机程序 (20)
    数据数据结构 (19)
    解决问题 (19)
    代数 (12)
    计算机视觉 (10)
    离散数学 (10)
    图论 (10)
    线性代数 (10)
    强化学习 (10)

    关于 Image Processing 的常见问题

    • Image Processing is the manipulation or modification of a digitized image, especially in order to enhance its quality. It involves techniques and algorithms designed to analyze, enhance, and optimize an image’s characteristics. This can include its sharpness, contrast, and other settings which are modifiable in image-processing software.

      As more and more organizations in all sectors require a solid online presence, the need for quality images grows more important. With tools such as Photoshop, Matlab, Lightroom, and more, learners can master Image Processing to excel in artistic and scientific fields.‎

    • According to ZipRecruiter, the average annual pay for an Image Processing Engineer in the United States is $148,350 per year as of May 1, 2020. Because digital images and videos are everywhere in modern times—from biomedical applications to those in consumer, industrial, and artistic sectors—learning about Image Processing can open doors to a myriad of opportunities.

      Learners interested in Image Processing can explore roles such as Software Developer, Research Scientist, Graphic Designer, Animator, Imaging Scientist, Machine Learning Researcher, Software Engineer, Algorithm Engineer, Research Engineer, and others that are related.‎

    • Through Coursera, Image Processing is covered in various courses. These courses focus on the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial scientific interests. Learners also discover the science behind how digital images and video are made, altered, stored, and used; how computers and digital cameras form images; how digital special effects are used in movies; and more.

      Lessons that include instruction on Image Processing are taught by professors from major universities such as Northwestern University, Duke University, and others. Learners can enjoy exploring Image Processing with professors specializing in Electrical Engineering, Computer Science, and related disciplines. Course content is delivered via video lectures, readings, quizzes, and other types of assignments.‎

    • Before starting to learn image processing, you need to have an understanding of the basic concepts of digital electronics. A foundational understanding of probability, calculus, and differential equations is also required, as are fundamental programming skills in any of the popular languages, such as Java, C++, Python, or MATLAB. It would also be helpful to have experience with a digital image processing software program, such as Adobe Photoshop or Affinity Designer so you're somewhat familiar with how image processing works. While it's not necessary, you may also benefit from having an understanding of signals and systems, since image processing is a subfield of these concepts. Having knowledge of how the human eye perceives images is also very helpful as you start to learn image processing.‎

    • People who are best suited for roles in image processing are creative as well as analytically minded. They deal with complex concepts related to preparing, constructing, rectifying, evaluating, and manipulating images so that information can be gained from it or images can be enhanced. These professionals often work with a team of specialists that might include those in software, chemistry, mechanical design, electronics, and other industries, so they need to have good communication skills and teamwork skills.‎

    • If you are an engineering or science student, a practicing scientist, or a software developer, learning image processing may be right for you so that you can use these important skills in your line of work. With image processing skills, you might be involved in capturing and analyzing images through MRI, ultrasound, X-ray, nuclear medicine, or optical imaging technologies. Or you may apply principles of engineering to develop and process images, videos, and signals for research work. You might reconstruct images from 2D to 3D or make key medical discoveries through image processing involving tumors, blood flow, or microscopic changes in the body. If any of these duties pique your interest, learning image processing may be right for you.‎

    此常见问题解答内容仅供参考。建议学生多做研究,确保所追求的课程和其他证书符合他们的个人、专业和财务目标。
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