Learn Computer Vision and Image Processing in LabVIEW
What you'll learn
- 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
- Theory behind each image processing algorithm
- How to apply the image processing algorithms for real life purposes
- A computer or laptop - With Window 7 or later, > 2Gb of RAM (4Gb Reccomended) , 1.5Ghz Processor or higher (Multicore Core 2Ghz processor Recommended).
- LabVIEW licence if possible or can use trial license
- Have an internet connection to download LabVIEW
- Basic LabVIEW experience is required
Note! This course price will increase to $200 as of 1st February 2019 from $190. The price will increase regularly due to updated content. Get this course while it is still low.
LATEST: Course Updated For January 2019 OVER 3040+ SATISFIED STUDENTS HAVE ALREADY ENROLLED IN THIS COURSE!
Learn the basic concepts, tools, and functions that you will need to build fully functional vision-based apps with LabVIEW and LabVIEW Vision Development Toolkit.
Together we will build a strong foundation in Image Processing with this tutorial for beginners.
LabVIEW Vision Development Toolkit Download and Installation
Basic Feature Detection
Circle, Color and Edge Detection Algorithms
Advance Feature Detection - Pattern Matching, Object Tracking, OCR, BarCodes
A Powerful Skill at Your Fingertips
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 etc.
Content and Overview
Suitable for beginning programmers, through this course of 26 lectures and over 4 hours of content, you’ll learn all of the 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 - Color 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 - Bar code 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.
Students completing the course will have the knowledge to create functional and useful Image Processing Apps.
Complete with working files, datasets and code samples, you’ll be able to work alongside the author as you work through each concept, and will receive a verifiable certificate of completion upon finishing the course. We also offer a full Udemy 30 Day Money Back Guarantee if you are not happy with this course, so you can learn with no risk to you.
See you inside this course.
Who this course is 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 fascinated with image processing and computational intelligence as well as AI
So a bit about me, Ritesh Kanjee: I've graduated from University of Johannesburg as an Electronic Engineer with a Masters in Image Processing and 8 years ago I started my online school called Augmented Startups where I have over 97'000 subscribers on YouTube and over 60'000 students on Augmented AI Bootcamp/Udemy.
I’ve worked with popular tools such as TensorFlow Keras, Open CV, and PyTorch and I’ve also produced High ranking tutorials that feature on Google and YouTube. My Machine Learning Series is also one of the most viewed videos, over 300 thousand views and you’ll find them ranked right at the top on YouTube search results.
From my tutorials, I have received a lot of great feedback and testimonials from students all around the world, I will share those reviews towards the end of the video
And I have also presented at international conferences and meetups in AI. For industry standard AI, I have partnered up with Geeky Bee AI who are Experts in the field in AI and Deep Learning and have experience developing AI apps for real world applications.