Introduction to Basic Feature Detection in Computer Vision

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In computer vision and image processing the concept of feature detection refers to methods that aim at computing abstractions of image information and making local decisions at every image point whether there is an image feature of a given type at that point or not. The resulting features will be subsets of the image domain, often in the form of isolated points, continuous curves or connected regions. This lecture teaches you the basics of feature detection.
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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.

1) LabVIEW Vision Development Toolkit Download and Installation
2) Basic Feature Detection
3) Circle, Color and Edge Detection Algorithms
4) Advance Feature Detection - Pattern Matching, Object Tracking, OCR, BarCode

Check the coupon code below and get the course for only $9 - Limited coupons left!

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.

Check the link below to learn more:

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