This is the code repository for Learn Computer Vision and Image Processing in LabVIEW [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Learning the fundamentals of image processing puts a powerful and very useful tool at your fingertips. Learning computer vision in LabVIEW is easy to learn, has excellent documentation, and is the base for prototyping all types of vision-based algorithms. Jobs in image processing are plentiful, and being able to learn computer and machine vision will give you a strong background to more easily pick up other computer vision tools such as OpenCV, Matlab, SimpleCV and so on. Suitable for beginning programmers, through this course of 26 lectures and over 4 hours of content, you’ll learn all about computer vision and establish a strong understanding of the concept behind image processing algorithms. Each chapter closes with exercises in which you will develop your own vision-based apps, putting your new learned skills into practical use immediately. Starting with the installation of the LabVIEW Vision Development Toolkit, this course will take you through the main and fundamental image processing tools used in industry and research. At the end of this course you will be able to create the following apps:
App 1 - Counting M&Ms in an image,
App 2 - Colour segmentation and tracking,
App 3 - Coin blob detection
App 4 - Blob range estimation
App 5 - Lane detection and ruler width measurement
App 6 - Pattern or template matching to detect complex objects
App 7 - Object tracking
App 8 - Barcode recognition
App 9 - Optical character recognition (OCR)
With these basic and advanced algorithms mastered, the course will take you through the basic operation of the theory behind each algorithm as well how they applied in real-world scenarios.
- Develop 9 vision-based apps in LabVIEW
- Understand the fundamentals of image processing
- The difference between computer and machine vision as well as their applications
- The theory behind each image processing algorithm
- How to apply the image processing algorithms for real-life purposes
To fully benefit from the coverage included in this course, you will need:
- 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 fascinated with image processing and computational intelligence as well as AI.
This course has the following software requirements:
N/A