In collaboration with the professorship Computer Vision & Data Science of the NHL-Stenden University of Applied Sciences a course on Computer Vision is developed. The NHL-Stenden is using VisionLab for both teaching and for applied research. The Centre of Expertise has performed more than 300 feasiblities studies using VisionLab. There are 10 Universities of professional education have been using this course. More than 2000 slides with many examples and excercises.

The full course "No maths" and lots of practicalities.

Version: January 2022, using VisionLab V3.47:

• Introduction
• Development Environment VisionLab
• Multi Core Processing
• Image Acquisition
• Synthetic images
• Image Math
• Contrast Manipliation
• Segmentation
• Labeling and Blob measurement
• Linear Filters (Convolution)
• Edge Detection
• Binary Morphology
• Non Linear Filters
• Distance and Hough Transform
• 2D Camera Calibration
• Fourier Transform
• Color Image processing
• Barcode Identification
• Classification with Neural Networks
• Classification with Neural Networks (Part II)
• Thermal Imaging
• Vision and Robotics
• Genetic Algorithms
• Optical Filters
• Blob Matching
• License Plate Recognition
• Stereo Camera Bumblebee
• Multi Core CPU processing in VisionLab
• Parallelization with OpenMP and OpenCL
• 3D measurement with Kinect
• VisionLab Python interoperability and Deep Learning
• Hyperspectral Imaging - Cameras and applications
• Hyperspectral Imaging - Operators

Download all slides.
Download images and scripts used in the course.