Course description
Learn Computer Vision and Image Processing in LabVIEW is a complete course where you can learn computer vision and image processing from scratch in LabVIEW and build 9 Vision-based programs. Learning the basics of image processing gives you a powerful and very useful tool. Computer Vision in LabVIEW is easy to learn, has excellent documentation, and is a foundation for prototyping a variety of vision-based algorithms. Jobs in image processing are plentiful, and the ability to learn computer and machine vision gives you a strong background to easily pick up other computer vision tools like OpenCV, Matlab, SimpleCV, etc.
What you will learn in this course:
- 9 Develop Vision-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 real purposes
Who is this course suitable for?
- Those who want to learn image processing and computer vision
- Those who are tired of complex coding with OpenCV, Matlab and Python
- Those who are interested in image processing and computational intelligence as well as artificial intelligence
Course specifications :
- Publisher: Udemy
- teacher : Augmented Startups
- English language
- Education level: all levels
- Duration: 2 hours and 43 minutes
- Number of courses: 24
- File format: mp4
Headlines of the 11/2019 period:
Course prerequisites:
- A computer or laptop – With Window 7 or later, > 2Gb of RAM (4Gb Recommended), 1.5Ghz Processor or higher (Multicore Core 2Ghz processor Recommended).
- LabVIEW license if possible or can use trial license
- Have an internet connection to download LabVIEW
- Basic LabVIEW experience is required
Images Learn Computer Vision and Image Processing in LabVIEW
Sample video
Installation guide
After extracting, watch with your favorite player.
Subtitle: None
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1.93 GB
Be the first to comment