Certificate of Achievement
has completed the following course:
Robotic Vision: Processing Images
Queensland University of Technology (QUT)
In this course you considered how computers see images, and what constitutes an image. You learnt about image processing operations such as histograms, normalization, gamma correction, vectorization and thresholding, and learnt about the spatial operators. You explored how to extract image features through MATLAB exercises, and examined some advanced features of image processing used in programming for robotic vision. You also learnt the properties of colour and light, and how robots see colour.
4 weeks, 3 hours per week
Peter Corke
Professor of Robotic Vision and Director of the Australian Centre for Robotic Vision
Queensland University of Technology (QUT)
Transcript
Learning outcomes
- Describe how images are represented in a computer
- Describe the purposes of different types of image processing and feature extraction operations
- Demonstrate basic coding in MATLAB for image processing relevant to robotics
Syllabus
- How computers process images
- Pixels, edges and regions
- How images are processed – histograms, monadic operations such as gamma correction and thresholding, and diadic operations
- Spatial operators such as kernels, Gaussian smoothing and edge detection
- How to extract image features – binary blobs and blob hierarchy
- Advanced image processing – morphology, scaling and image warping
- How to find dominant lines
- Properties of colour and light.
Issued on 13th September 2018
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This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.