Udemy – Learn computer vision and image processing in LabVIEW 2018-12 – Download

Explanation

Learn Computer Vision and Image Processing in LabVIEW is a comprehensive course where you can learn computer vision and image processing in LabVIEW and build 9 vision-based programs. Learning the basics of image processing gives you powerful and useful tools. LabVIEW Computer Vision is easy to learn, has excellent documentation, and is the foundation for programming a variety of computer-based algorithms. Image processing jobs are many, the ability to learn computer and machine vision gives you a strong background to easily pick up other computer vision tools such as OpenCV, Matlab, SimpleCV, etc.

What you will learn in this course:

  • Create 9 Theory-based programs in LabVIEW
  • Understand the basics of image processing
  • Understand the difference between computer vision and machine vision, as well as their applications
  • The theory behind any image processing algorithm
  • How to use image processing algorithms for practical purposes

Who is this course for:

  • Those who want to learn image processing and computer vision
  • For those tired of complex coding in OpenCV, Matlab and Python
  • Those interested in image processing and computational intelligence as well as artificial intelligence

Course specifications:

  • Publisher: Udemy
  • Teachers: Extended startup
  • Language : English
  • Level : All Levels
  • Duration: 2h 43m
  • number of lessons: 24
  • Format: mp4

Course contents 11/2019:

Learn Computer Vision and Image Processing

Requirements:

  • Computer or Laptop – Windows 7 or later, > 2Gb of RAM (4Gb recommended), 1.5Ghz Processor or higher (Multicore Core 2Ghz Processor recommended).
  • LabVIEW license if possible or use trial license
  • Have an Internet connection to download LabVIEW
  • Basic experience with LabVIEW is required

Graphics Learn Computer Vision and Image Processing in LabVIEW

Learn Computer Vision and Image Processing

Example clip:

Installation guide:

After the production, you can watch the course in your favorite video.

subtitle: None

Quality: 720p

Download links:

Download Part 1 – 1GB

Download Part 2 – 933MB

Password: free download software

File size:

1.93 GB

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